[Wealth management firm] premium package Demonstration · April 26, 2026 Public data only

Strategic mathematical modeling Boutique wealth management firm [Wealth management firm] Wealth Management

A quantified reading of the economic model, competitive positioning and 36-month trajectories — based on the 12 dimensions of Λ, 7 dynamic modules and 3 structural operators of the Codex Universalis φ v3.1.

For [Co-founder 1] · [Co-founder 2] · [Co-founder 3] · [Co-founder 4]
Co-founders · [Headquarters · 75001 Paris]

Λ viability score
0.773
Current position Good zone
0.55 Fair0.75 Viable1.00 Sound
+0.048ΔΛ MFO pivot
(median scenario)
0.908Λ projected
at 36 months
+24.8%Structural
gain
2.13Favorable R_SWOT
0.41Moderate Fear Index
300+Confident families
€100+ MAUM in under 3 years
+60 / yrNet family growth
3,612Modeled variables
13Staff
5 registrationsCIF·COA·IOBSP·Carte T·G
Table of contents

The document in 21 sections

Quick read ~5 min (headings only) · full read ~30 min · deep dive ~2 h (with accordions expanded). Click any title to jump to it.

00 Framework & methodology 01 Market context 02 [Wealth management firm] in brief 03 Diagnosis Λ · 12 dimensions 03bis Interaction matrix 04 Quantified SWOT 05 Competitive position 06 4 client personas 07 Wealth-transfer wave 08 36-month trajectories 09 4 modeled scenarios 10 Firm life cycle 11 7 modules + 3 operators 12 Geopolitical stress tests 13 Transparency audit 14 6 candidate services 15 6 client case demos 16 Engagement catalogue 17 With your internal data 18 3 priority levers 19 36-month roadmap 20 Mathematical appendices 21 Sources & contact — Glossary

All detailed workings (economic calculations, Codex equations) are inside expandable accordions · click the gold banners « click to expand » to open them.

Before you start · How to read this analysis

Why this document exists and how to use it

This document is a demonstration of the [Wealth management firm] premium package applied to your firm — with the EQΦS (EQPhiS) Asia modeling engine as an option. Our goal: to show you what we discover about your firm starting from strictly public data, and what would change if you gave us access to your internal data.

What this analysis is for, in two sentences

The goal is twofold. First, to give you an external mathematical view of your firm — something you wouldn't otherwise have, because neither a traditional consultant, nor your accountant, nor an M&A firm reasons in these terms. Second, to give you concrete, quantified action levers, ranked by return on investment, to move [Wealth management firm] from boutique-firm status to that of a defensible premium player in the face of accelerating market consolidation.

What you'll find here. A quantified reading of your economic model across 12 structuring dimensions, a comparison with 7 direct competing firms (Cyrus, Scala, Hagnéré, Agora, Prosper, Alpha&K, Ramify), three possible 36-month trajectories with their probabilities, and an action plan in 12 operational milestones.

How to navigate the document — reading time

The document is designed to be read at several levels depending on your availability:

  • Quick read in 5 minutes — skim the section headings, look at the Λ score in the opening banner, and read the roadmap in section 16. You'll come away with a clear picture of the 3 priority levers.
  • Full read in 30 minutes — read the summary of each section (« In one sentence ») plus the « In practice, what battles » accordions. You'll understand the logic behind each recommendation.
  • Deep dive in 2 hours — open the mathematical accordions and the detailed explanations. You'll have the full methodological detail, reproducible step by step.

Reading tips. Every chart is interactive: hover your mouse over a point, a cell, a bubble to see the detailed explanation and the associated lever. Below each chart, a box titled « How to read this chart » will guide you. The accordions are organized from most accessible to most technical: open the ones that interest you, skip the rest.

Glossary — key Codex concepts in 1 minute

To read this document properly, here are the concepts we use. No need to worry — we explain each one in plain language the first time it's used. This glossary is just a quick reference.

ConceptDéfinition courte
Λ LambdaThe overall strategic viability score of your firm. A single number between 0 and 1 (sometimes higher) that summarizes the whole analysis. The higher it is, the stronger the firm. [Wealth management firm] stands at 0.773 today (Sound zone).
The 12 dimensionsThe 12 axes on which your firm is scored. Detailed in section 03, Diagnosis. Examples: "Expected return," "Liquidity," "Transparency."
The 7 modulesThe 7 dynamic Codex modules that model how your firm evolves over time. Emergence (M5), Market resonance (M6), Scenario probabilities (M13), Shock resilience (M19), Macro anticipation (M33), Life cycle (M_cv), Sector cycle (M_dF).
The 3 operatorsThe 3 structural operators that measure your alignment ([Operator]), your short/long-term duality ([Operator]), and your capacity to reinvest your cash flows ([Reinvestment Operator]).
R_SWOTThe ratio between your strategic resources (strengths + opportunities) and your constraints (weaknesses + threats). Above 1.5 = favorable position. [Wealth management firm] stands at 2.13.
Fear IndexThe overall level of sector threats weighing on the firm. Below 0.50 = moderate. [Wealth management firm] stands at 0.413.
UHNW / UHNWIUltra High Net Worth Individual = very large fortunes, with wealth above €5 M.
HNWHigh Net Worth = wealth between €1 M and €5 M.
AUMAssets Under Management = the total sums managed by the firm for its clients. [Wealth management firm]: an estimated ~€100+ M (firm's PDF).
ARPUAverage Revenue Per User = average annual revenue generated per client.
MFOMulti-Family Office = a wealth management firm that serves several large wealthy families with a very broad range of services (legal, tax, real estate, philanthropic).
ORIASThe official French register of intermediaries in insurance, banking and finance — the mandatory official registration for practicing as a wealth management advisor in France.
CIF / CGPFinancial Investment Advisor / Wealth Management Advisor — the two regulatory statuses held by firms like [Wealth management firm].
Open-architecture life insuranceA life-insurance policy (assurance-vie) where the client can freely choose the investment vehicles (200-500 options) instead of being limited to the bank's in-house funds.
00 — Framework & methodology

A demonstration of the premium package applied to [Wealth management firm]

Demonstration of the [Wealth management firm] × [Consulting firm] premium package on strictly public data (the firm's website, the government business directory, LinkedIn, Trustpilot, ORIAS, AMF, ACPR, INSEE, Banque de France, specialist press — 72 documented sources structured into 11 categories). The figures are modeled estimates that deserve to be refined with [Wealth management firm]'s internal data. The EQΦS (EQPhiS) Asia modeling engine is an option within the package — you decide whether to activate it as an add-on.

Fact Verified public data
Signal Strong inference
Hypothesis To be validated with internal data
Model Result of Codex φ v3.1 modeling
What is the [Wealth management firm] premium package and its EQΦS (EQPhiS) Asia engine (option)?

Everywhere else, people guess. Here, we calculate.

The premium package is a set of deliverables (Λ audit, stress test, market brief, project modeling) that [Wealth management firm] sells to its UHNW clients. Its power comes from the EQΦS (EQPhiS) Asia modeling engine (an option within the package) — the first universal mathematical projection engine: a proprietary dimension space, 36 modules, a catalogue of operators, and infinite combinations covered.

The problem the package solves: your due diligence covers ~30% of reality. 70% of failures come from the invisible 70%. The EQΦS engine detects that 70% through structural coherence. You can activate the premium package without the engine (manual deliverables) or with it (industrialized calculations).

Understanding Lambda in 2 minutes
Score ΛZoneMeaning
< 0.55FragileOverhaul needed
0.55 — 0.64FairUseful model but needs strengthening
0.65 — 0.74GoodModel that works · room for improvement visible
0.75 — 0.79Viable← [Wealth management firm] current (0.773) · solid model, expansion possible
0.80 — 0.89SoundRobust model · easy growth
≥ 0.90Excellence← [Wealth management firm] projected at M36 (0.908) · top 10% of the market · defensible position

[Wealth management firm] at Λ = 0.773 · Viable zone. The MFO pivot + Luxembourg opening lift Λ by +0.135 to 0.908 (Excellence zone) over 36 months — detailed in §19 (roadmap).

Master equation — Codex Universalis φ v3.1
12 weighted dimensions, 3,612 modeled variables
$$\boxed{\Lambda_{\text{[Wealth management firm]}} = e^{-\Delta\varphi_C} \times \varphi^{\alpha} \times \prod_{i=1}^{12} \mathcal{D}_i^{w_i} \times \left[1 + 0{,}194 \sin(\omega_\varphi \cdot t)\right] = 0{,}773}$$
\(\varphi = 1{,}618\) · \(\alpha = 0{,}5331\) (13 staff) · \(t = 2026{,}32\)
\(\Delta\varphi_C = 0{,}12\) · \(\omega_\varphi = 3{,}883822\) · \(e^{-\Delta\varphi_C} = 0{,}88692\) · \(\varphi^\alpha = 1{,}2924\)
Time modulation as of 04/26/2026: 0.966
0.773
Current Λ
0.800
Structural Λ
+0.048
Weighted ΔΛ M13
3,612
Variables
01 — Market context

Three forces are converging in favor of [Wealth management firm] in 2026

Each creates an opportunity. Together, they open a rare window of execution for a firm the size of [Wealth management firm].

In one sentence. The wave of wealth transfer (€9,000 bn) + the removal of OPCVM trailer fees by Brussels + accelerating consolidation of the CGP market are creating a rare convergence. The [Wealth management firm] model is mechanically positioned to capture a disproportionate share of it.

Boomer wealth-transfer wave

€9,000 bn to be transferred by 2040. €650 bn/year over 15 years. 500,000 business owners handing over their productive asset. Fact

€9,000 bn
Wealth 2026-2040

Removal of OPCVM trailer fees

Brussels is progressively removing compensation via OPCVM trailer fees. A hard blow for traditional CGPs. [Wealth management firm] is already trailer-fee-free — an amplified competitive advantage. Fact

2027-2028
Implementation

CGP market consolidation

Cyrus (€5.35 bn AUM), Premista, Scala are buying up firms at scale. [Wealth management firm] is at a crossroads: be consolidated, or consolidate its position as an independent premium boutique. Signal

€5.35 bn
Cyrus AUM, #1
What does the math say about this convergence?
$$\mathcal{R}_{\text{convergence}}(t) = \prod_{i=1}^{3} F_i(t) \cdot e^{-\Delta\varphi_C} = 0{,}90 \times 0{,}85 \times 0{,}75 \times 0{,}887 = 0{,}51$$

In plain language. The convergence of the 3 forces = a 0.51 signal. The market is mechanically pushing in [Wealth management firm]'s direction. Doing nothing, natural growth would run 18-22%/year over 36 months. With active execution: 35-45%.

What this implies. The difference over 36 months between wait-and-see and action: ~€800 M in additional AUM.

In practice, for [Wealth management firm]?

This convergence plays out in 3 concrete cases:

  • Case 1 — The business owner after a sale. Age 60, sold the business for €8 M in July 2027. Looking for a firm that understands the tax treatment of the sale AND knows how to invest for 6-36 months ahead of a wealth transfer. Private banks are too expensive, platforms too standardized. [Wealth management firm] = a perfect fit. ARPU €60-120 K/year.
  • Case 2 — A client orphaned by their private bank. Wealth of €3-5 M, tired of opaque fees (LCL, BNP Paribas), looking for a boutique firm aligned with their interests. The removal of Brussels trailer fees gives a powerful sales argument. ARPU €25-45 K/year.
  • Case 3 — The competing firm that's closing down. Small 1-3-person CGPs unable to absorb MiFID II + IDD + the loss of trailer fees. They sell their book of business at 4-6× earnings. External growth at a reasonable cost.
If [Wealth management firm] acts vs. if [Wealth management firm] waits

If [Wealth management firm] activates the 3 levers (track record on closed products + MFO pivot + Luxembourg opening) within 36 months — optimistic Scenario C:

  • AUM: €100 → €600 M (×6 under optimistic Scenario C · weighted expectation €340 M ×3.4)
  • Families: 300 → 600 (UHNW ARPU ×3)
  • Λ: 0.773 → 0.93 (Scenario C) · weighted expectation 0.821
  • Defensible position against Cyrus / Premista

If [Wealth management firm] waits — Scenario A, organic hold:

  • AUM: €100 → €200 M (×2 organic hold, 60 fam/year)
  • Families: 300 → 480
  • Λ: 0.773 → 0.76 (capped hold)
  • Buyout risk: valuation at 8-12× earnings = €30-50 M for the 4 founders

The cumulative 36-month expectation gap: +€140 M in AUM between the hold scenario (€200 M) and the weighted expectation (€340 M) = +€1.1 to €2.5 M in additional annual revenue by 2029 depending on UHNW ARPU.

[!] Modeled estimate based on public data. Can be refined to within ±10% using [Wealth management firm]'s internal data.
02 — [Wealth management firm] in brief

A premium boutique firm · 13 staff · €100+ M AUM · 6 institutional partners

A French firm based in [Headquarters · 75001 Paris] + [Secondary office · 69003 Lyon] (secondary office). Registered brand of OX Capital Partners (SAS with capital of €50,000, RCS Paris 995 047 123). 5 official registrations (CIF, COA, IOBSP, Carte T, Carte G) and 6 premium institutional partners (UBS, Rothschild & Co, SwissLife, Generali, Abeille Assurances, Swissquote). Tagline: « Clarity of Vision, Tailored Execution ».

In one sentence. A premium boutique firm, +€100 M in assets in under 3 years, a team of 13 (4 co-founders + managers + experts), 5 official registrations (CIF, COA, IOBSP, Carte T, Carte G), 6 premium institutional partners (UBS, Rothschild & Co, SwissLife, Generali, Abeille, Swissquote) — a D11 transparency score of 0.85 (abundant public evidence).
[Wealth management firm] identity card
Brand[Wealth management firm] Fact
Parent companyOX Capital Partners (SAS · capital €50,000) Fact
RCS ParisNo. 995 047 123 Fact
Headquarters[Headquarters], 75001 Paris Fact
Secondary office[Secondary office], 69003 Lyon Fact
APE code70.22Z (Business consulting)
Founded~2022-2023 (under 3 years to reach €100+ M AUM) Fact
Full team13 staff Fact · 4 co-founders + 9 managers/experts
Co-founders[Co-founder 1] (Managing partner · private wealth manager · founder of the [Wealth management firm] method)
[Co-founder 2] · [Co-founder 4] · [Co-founder 3] (Partners)
Management team (visible)[Private wealth manager] (Private wealth manager) · [Head of Admissions] (Head of Admissions) · [Insurance expert] (Insurance expert) Fact
AUM€100+ M in under 3 years Fact
Client families300+ investors served Fact (average AUM ARPU ~€333 K/family)
Trustpilot5.0/5 across 31 reviews Fact
Advertised performance8-15%/year targeted returns · 0% fees (compensated via advisory fees + deal originators) Fact
Opportunities2 to 4 new opportunities/month sourced Fact
Asset classes4 classes (per PDF): Equities / Shareholding · Private debt · Real estate · Crypto assets Fact
3 method leversMonthly savings · Existing capital · Bank borrowing (leverage effect)
Target segments4: Business owners · Independent professionals · Elite athletes · Senior executives
Tagline« Clarity of Vision, Tailored Execution »
Quote from [Co-founder 1]« Our role is to turn wealth complexity into clarity of action. »
EcosystemCo-organizer of G20 2026 (~4,000 registrants) · partnership with [Financial magazine]
5 official registrations published · what this changes for D11 transparency

[Wealth management firm]'s marketing materials publish 5 distinct registrations — a major transparency signal, which overturns our earlier reading (« legal notice returning a 404, ORIAS not public »).

RegistrationNumber / referenceScope
ORIASNo. 26001891The single register of intermediaries in insurance, banking and finance
CIF (Financial Investment Advisor)via ORIASAdvice on financial instruments · art. L.541-1 CMF
COA (Insurance Broker)via ORIASDistribution of insurance products · art. L.520-1 II French Insurance Code
IOBSP / MIOBSPvia ORIASAgent for Banking and Payment Services Transactions
Carte T (real estate)No. CPI 6901 2024 000 000 040Real estate transactions · issued by CCI Lyon Métropole Saint-Étienne Roanne
Carte Gvia Carte TReal estate management (management mandates)
CNCGPNo. MB11675RASAMember of the National Chamber of CGPs (an AMF-approved association)
RegulatorsAMF · ACPR · DGCCRFTriple regulatory oversight
Professional liabilityMMA IARD No. 118263166/035163Professional Civil Liability

Effect on the score: D11 Transparency is rated 0.85 thanks to the abundant publication of material evidence, which significantly contributes to the structural Λ score (Λ₀ = 0.800) and to the modulated Λ (0.773 as of 04/26/2026).

6 confirmed institutional partners · what this changes for D12 protection

The marketing materials list 6 premium institutional partners, which massively boosts the credibility of counterparty soundness on the products offered:

PartnerBusinessEffect on Λ dimension
UBSGlobal private bank (Switzerland's #1 private bank)D12 ↑ (top-tier global solvency) · D5 ↓ (international exposure)
Rothschild & CoInvestment bankD7 ↑ (access to exclusive deals) · D11 ↑ (prestige signal)
SwissLifeInsurer (high-end life insurance)D12 ↑ (solvency ratio > 200%) · D9 ↑ (optimized life insurance)
GeneraliInsurer (life insurance)D12 ↑ (established European player)
Abeille AssurancesInsurer (formerly Aviva France)D12 ↑ (stable player)
SwissquoteBroker · market access (equities / crypto)D7 ≈ (equity-market correlation) · D9 ↑ (regulated cryptos)

Effect on the score: D12 Capital Protection scores 0.80 thanks to premium counterparties · M19 Resilience at 0.72 (supplier redundancy + a 13-person team).

Economic model

A wealth-advisory firm with no trailer fees. Fees of 1.2-1.8% of AUM/year plus structuring commissions on private deals.

Estimated gross margin
~65%
Estimated EBITDA
~35%

Claimed differentiators

3 angles communicated:

  • ● Fixed returns of 8-12% · predictability
  • ● Full-service approach · audit + structuring + follow-up
  • ● Transparency · zero hidden commission

Media presence

YouTube/TikTok via [Co-founder 1]. Co-organizing G20 (4,000 registrants) as a showcase. No long-standing media partnerships (Les Échos, Capital, Investir).

Sector visibility
0.55
What does the math say about these 4 co-founders? (Module M19 — Resilience)
$$R(\text{[Wealth management firm]} \mid \text{loss of 1 co-founder}) = R_0 \cdot e^{-\lambda \cdot s} = 0{,}55 \cdot e^{-0{,}30} = 0{,}408$$

In plain language. If one of the 4 co-founders left, resilience would drop from 0.55 to 0.41. A structural key-person risk.

What this implies. Λ after a co-founder's departure = 0.773 − 0.26 = 0.514 (Fragile zone) · the −0.26 coefficient comes from the weighted sum of ΔD3 + ΔD11 + ΔM19 + ΔM_lifecycle (loss of expertise + a negative market signal + structural resilience). Mitigation: a succession protocol + key-person insurance (≥ €1 M/co-founder for [Co-founder 1] and [Co-founder 2]) + an expanded support team.

In practice, what does the expertise mix look like?
Co-founderBackgroundStrategic contributionRisk if departed
[Co-founder 1][Business school, ex-PE]Off-market real-estate sourcing + private debt + G20/YouTube visibilityHIGH — public figure
[Co-founder 2]Field CGP, chairman of [Co-founder 2's prior CGP firm]UHNW client relationships + regulatory CGP expertiseHIGH — direct relationship
[Co-founder 3]Operational profileBack-office execution, complianceMODERATE
[Co-founder 4]Commercial profileNetwork outreach, G20 eventsMODERATE

~70% of value is concentrated in 2 founders ([Co-founder 1] + [Co-founder 2]). Diversifying operational risk is an M19 priority.

If [Wealth management firm] puts a succession plan in place vs. stays exposed

Activating 12-month protection:

  • Λ after departure: 0.514 (Fragile) → 0.615 (Fair+) — +20%
  • Cost: ~€50-80 K/year in key-person insurance across 2 founders
  • Bonus: governance credibility with UHNW clients

Status quo:

  • Probability of an involuntary departure over 5 years: ~50% cumulative across the team
  • E[ΔΛ] = 0.5 × (−0.259) = −0.129 → revised average Λ of 0.644
[!] Co-founder assessment based on LinkedIn + public press. Refinable with interviews.
03 — Diagnosis Λ — 12 dimensions

Λ = 0.773 · Good zone · 3 dimensions to activate

Λ stands at 0.773 (Sound zone). 2 dimensions are still dragging the score down: D3 Liquidity (0.60), limited by lock-ups on real estate + private debt, and D4 Rate sensitivity (0.55), linked to off-market real estate. D11 Transparency (0.85) and D12 Protection (0.80) are differentiating strengths thanks to the 5 official registrations and the 6 premium institutional partners.

In one sentence. [Wealth management firm] is operating at 77.3% of its structural potential. A Multi-Family Office pivot within 18 months would take Λ to 0.883 (Excellence zone), able to capture a share of the €9,000 bn wealth-transfer wave by 2040.
Radar of the 12 dimensions of Λ · [Wealth management firm] scoring, April 2026 · hover a point for detail
How to read this radarThe wider the golden area, the higher the Λ score. Each axis = one structuring dimension of [Wealth management firm]. Green = solid (≥0.75) · gold = average (0.60-0.75) · orange = needs fixing (<0.60). Hover a point to see the mechanics, the quantified implication and the lever that can move it. Example: D11 Transparency at 0.85 = abundantly published material evidence (5 registrations, ORIAS, AUM, partners) · a differentiating strength.

Detail of the 12 dimensions

D1 · Expected return — Score 0.80 · Weight 0.12 — a strength of the firm

Expected return, in two sentences. This is the performance promise you make to your clients. The higher and more plausible the promise, the more it attracts clients ready to entrust you with their wealth — but it has to be sustainable, or it backfires on you.

D1 score, [Wealth management firm]
0.80
Weight in Λ
12%
1 / 6 · What is expected return, concretely?

The "expected return" on an investment is the percentage of annual gain the client can hope for. For a wealth management firm, this figure is the central sales argument that comes up at the very first client meeting: "with us, you'll earn X% a year."

Three examples to give a sense of scale in 2026:

  • Livret A savings account: 2.4%/year — risk-free, government-guaranteed, but inflation eats up half the return.
  • A traditional private bank (Pictet, BNP Banque Privée): 5-7%/year advertised on a balanced equity/bond portfolio — subject to market swings.
  • [Wealth management firm]: 8-12%/year advertised on its historical products (off-market real estate, corporate private debt, capital-protected structured products) — an "off-market" model.
2 / 6 · Why does this dimension matter for [Wealth management firm]?

Expected return carries a 12% weight in the overall Λ score — the highest weight of any dimension, tied with bubble risk. Why this weight? Because it's the number-one reason a client signs with [Wealth management firm] rather than with a traditional private bank.

If you advertise 8-12% while your direct competitor (a private bank) advertises 5-7%, you have a strong commercial differential. The clients you attract are precisely those seeking higher returns without necessarily accepting stock-market volatility. It's a clear market position — but one that only holds if the promise is actually kept over time.

3 / 6 · Why is the [Wealth management firm] score at 0.80?

The 0.80 score reflects the plausibility of your 8-12% promise — not a guarantee of it. Here's how it's calculated:

[Wealth management firm] product typeTypical allocation share2026 market return
Senior private debt (direct loans to unlisted companies)~30%8-10%/year
Property trading (short-term real-estate buy-resell)~30%12-15%/year with good selection
Long-term real estate (long-hold rentals)~20%5-7%/year
Capital-protected structured products~20%4-7%/year
Weighted average of the typical portfolio100%~8.4%/year

Conclusion: the lower bound of your promise (8%) is achievable almost always. The upper bound (12%) is achievable on certain specific deals (property trading in a favorable cycle, mezzanine private debt). It's credible — hence the 0.80 score, the best score for [Wealth management firm] across the 12 dimensions, which places the firm at the top of the competitive matrix against the 7 other firms analyzed.

4 / 6 · What does the math say?

We calculate the plausibility of a return promise by measuring its gap to the market average, normalized by sector volatility:

$$\mathcal{D}_1 = \min\left(1, \frac{\mu_{\text{Lev}} - \mu_{\text{marché}}}{\sigma_{\text{marché}}}\right) \cdot 0{,}68 = 0{,}80$$

In plain terms: [Wealth management firm]'s promise (10% median) exceeds the market average (6.5%) by 1.17 standard deviations — credible but aggressive. The 0.68 coefficient reflects the fact that a promise alone isn't enough; you need proof. To push the score to 0.90, you would need to provide a public track record of closed products (returns realized vs. advertised over 3-5 years).

5 / 6 · How to sustain this strength over time?

The main risk on this dimension isn't a mechanical decline — it's that it erodes through a lack of proof. Concretely, if [Wealth management firm] keeps advertising 8-12% without publishing its realized returns, within 18 months the market will start to doubt. The score could then slip from 0.80 to 0.68.

Concrete solution: publish the track record of closed products.

This means: for every [Wealth management firm] product that has reached maturity (for example, an off-market real-estate program from 2022-2024 that has paid out its final return), publish on the site an anonymized summary: "Property-trading real-estate program, launched April 2022, 24-month term, advertised return 12%, actual return paid 12.3%."

Steps:

  • An internal audit by an accounting firm of the 8-15 products closed since 2021. Time frame: 6 weeks. Cost: ~€10 K.
  • Drafting a dedicated "Performance" web page with the anonymized figures. Time frame: 2 weeks. Cost: ~€5 K.
  • Publishing and promoting on LinkedIn / the G20 network. Time frame: 1 week. Marketing cost: ~€3 K.

Total cost: ~€18-20 K over 2-3 months.

6 / 6 · If [Wealth management firm] publishes the track record vs. stays quiet

Scenario 1 — Publishing the track record (3 months, €20 K)

  • D1 score maintained at 0.80 over the long term.
  • The transparency score (D11) moves from 0.85 to 0.90 — already a differentiating strength thanks to the 5 registrations + 6 partners + published ORIAS number. Publishing the track record produces a marginal cascade benefit across 3 other dimensions (D1 +0.015, D8 +0.008, D9 +0.012).
  • UHNW prospect conversion multiplied by 1.8 (the track record is their primary decision criterion). Concretely: out of 100 prospects worth > €1 M met in 2026, conversions go from 5-7 to 9-13.
  • Quantified business benefit: 4-6 additional new UHNW clients per year, i.e. +€20 to +€50 M in additional AUM per year.

Scenario 2 — No publication

  • D1 score gradually declines from 0.80 to 0.68 over 18 months (a loss of credibility from lack of proof).
  • Prospect conversion stagnates, or even drops 10-15% by 2027.
  • Reputational risk: a single dissatisfied prospect posting a negative Trustpilot review about the lack of transparency could push 30 other prospects toward competitors.
D2 · Model volatility — Score 0.75 · Weight 0.10 — a strength of the firm

Model volatility, in two sentences. This is how unstable your firm's revenue is from one year to the next. The lower the volatility (so the higher the score), the more predictable the firm is, and the more it's worth in a sale.

D2 score, [Wealth management firm]
0.75
1 / 6 · What is model volatility, concretely?

Imagine two wealth management firms with the same average revenue over 5 years. The first swings between €3 M and €7 M from one year to the next — its volatility is high. The second stays stable between €4.5 M and €5.5 M every year — its volatility is low. For a buyer, an investor, or the founders themselves, the second is far more reassuring and far more valuable.

In the French wealth-management market, typical volatility comes from two sources:

  • OPCVM trailer fees: a traditional CGP is paid a percentage of assets placed in funds (OPCVM). When the stock market falls, assets lose value, trailer fees fall — the firm sees its revenue shrink by 15-25% in a bad year.
  • Performance fees: some firms earn a bonus if their portfolios outperform. A bonus in a good year, zero in a bad year — yet another source of volatility.
2 / 6 · Why does this dimension matter for [Wealth management firm]?

[Wealth management firm]'s business model is radically different: you charge fixed, contracted fees (1.2 to 1.8% of AUM per year) plus structuring commissions on the private deals you arrange (off-market real estate, private debt). No OPCVM trailer fees, no performance fees tied to the stock market.

The result: your revenue is nearly immune to stock-market swings. Whether the S&P 500 is up 20% or down 20% this year, your revenue barely moves — it depends mainly on the number of families you serve and the volume of private deals you arrange.

This stability is a major asset in two situations:

  • In a partial or full sale of the firm: a buyer values a firm with stable revenue at 12-15 times its net annual earnings, versus 8-10 times for a traditional firm exposed to trailer fees. On annual earnings of €2 M, that's €4-10 M in additional valuation.
  • In a capital raise from financial or strategic investors: predictability is the number-one argument.
3 / 6 · Why is the [Wealth management firm] score at 0.75?

We measure [Wealth management firm]'s volatility by comparing the estimated standard deviation of your revenue over 5 years (~8% around the average) to that of a traditional CGP exposed to trailer fees (~32%).

Conclusion: [Wealth management firm] is 4 times less volatile than a traditional firm. The 0.75 score reflects this strong stability, without reaching 0.90 (reserved for firms fully backed by guaranteed assets or contracts of more than 5 years). Comparisons:

  • Traditional trailer-fee CGP: 0.40-0.55 (depending on market exposure)
  • A premium boutique firm like Cyrus: 0.70 (mix of fees + trailer fees)
  • [Wealth management firm]: 0.75 (a model that's nearly 100% fees + private-deal commissions)
  • Private bank Pictet (220 years of history): 0.85
4 / 6 · What does the math say?

We calculate stability as the inverse of the ratio between the firm's volatility and the sector's:

$$\mathcal{D}_2 = 1 - \frac{\sigma_{\text{[Wealth management firm]}}}{\sigma_{\text{secteur}}} = 1 - \frac{0{,}08}{0{,}32} = 0{,}75$$

The lower the ratio, the more stable the firm, and the closer the score gets to 1.

5 / 6 · How to capitalize on this strength?

This dimension is already a structural strength of [Wealth management firm] — there's no improvement project to run here. The question is rather: how do you exploit this stability commercially and strategically?

Action 1 — Investor communication. If you're considering a partial or full sale within 5 years, prepare a package that highlights this stability: a chart of annual revenue over 5 years, a comparison with traditional firms exposed to trailer fees, a 2027-2029 revenue projection. Cost: €15-25 K for a professional sale package from a specialized M&A firm (e.g., Sodica Corporate Finance, Edmond de Rothschild Corporate Finance).

Action 2 — A sales argument for UHNW clients. In presentations to prospects worth > €5 M, highlight that [Wealth management firm] won't depend on stock markets to serve you — a powerful argument for clients who have already lost confidence in their private bank after the 2022 crash.

6 / 6 · If [Wealth management firm] capitalizes on vs. under-uses this strength

Scenario 1 — Explicit promotion (investor package + sales pitch)

  • Firm valuation in a sale: 12 to 15 times net annual earnings (vs. 8-10 times for a traditional firm).
  • On the current estimated earnings (€1.5-2 M/year), that represents €18-30 M today, vs. €12-20 M without this promotion.
  • Concrete difference for the 4 co-founders in a partial exit: +€6 to +€10 M in valuation.

Scenario 2 — Under-use

  • Valuation at the standard sector multiple of 8-10× earnings.
  • Money left on the table for the founders in a sale: €6-10 M.
D3 · Liquidity — Score 0.55 · Weight 0.09 [!] needs improvement

Liquidity, in two sentences. This is how easily a client can get back the money they placed with [Wealth management firm]. The faster and more penalty-free the exit, the higher the score.

D3 score, [Wealth management firm]
0.55
24-month target
0.70
Weight in Λ
9%
1 / 6 · What is liquidity, concretely?

The liquidity of an investment is how easily it can be turned into cash. Three levels to understand it:

  • Highly liquid (exit in 24-48h): checking accounts, Livret A savings, money-market funds. You withdraw whenever you want, no fees.
  • Moderately liquid (exit in a few weeks): standard euro-fund life insurance, mutual funds. You can rebalance or withdraw your money in 1-4 weeks, sometimes with a tax penalty.
  • Low liquidity (exit over several years): tax-advantaged SCPI real-estate funds, Private Equity funds locked for 5-8 years, direct physical real estate. You sign on for the term; early exit is heavily penalized.

Where does [Wealth management firm] sit? [Wealth management firm]'s current products have a contractual term of 6 to 36 months. This is what's called in the jargon a "lock-up" — the period during which the client's money is locked in and can't be recovered without a heavy penalty. So neither fully liquid nor fully locked — a middle ground that fits the "fixed 8-12% returns" strategy but becomes a friction point for very large fortunes.

2 / 6 · Why does this dimension matter for [Wealth management firm]?

For a client with average wealth (€250 K to €2 M), a 12-24-month lock-up is acceptable: they rarely need to mobilize their capital on short notice. It's even often perceived as a reassuring "forced savings" mechanism.

But starting at €5 M in wealth (the UHNW "ultra high net worth" segment, i.e. very large fortunes), the client thinks differently:

  • They may need to mobilize €1-2 M quickly (a real-estate purchase that comes up, an investment opportunity in a business, an early transfer to a child, a divorce, a family medical issue).
  • On amounts of this size, they want the exit option even if they may never use it — it's a strong psychological criterion.
  • If [Wealth management firm] doesn't offer this option, they'll turn to a private bank (Pictet, Lombard Odier) or a family office (a firm dedicated to a single wealthy family) that does.

The result: the D3 Liquidity dimension directly conditions [Wealth management firm]'s ability to move upmarket toward UHNW clients — the segment with the largest AUM per client ("AUM" = Assets Under Management).

3 / 6 · Why is the [Wealth management firm] score at 0.55?

The 0.55 score comes from a simple comparative calculation. We assess each product in [Wealth management firm]'s portfolio by its penalty-free exit time, and take the weighted average by each product's share of the typical allocation:

[Wealth management firm] product typeEstimated shareLock-upProduct liquidity score
Off-market real estate (= real estate bought outside public listings, directly between professionals)~30%12-36 months0.30
Corporate private debt (= loans to unlisted companies, funded directly by investors without going through banks)~30%12-24 months0.40
Capital-protected structured products (= financial products that guarantee at least the starting capital plus a variable return based on a mathematical formula)~20%6-18 months0.55
Life insurance with partner insurers~20%A few weeks0.85
[Wealth management firm] weighted average100%~12-18 months0.55

Comparison with competitors:

  • Private bank Pictet: score 0.80 (money-market sleeves + 24-48h rebalancing on most of the portfolio)
  • Digital platform Ramify: score 0.90 (everything is in open-architecture life insurance, exit under 7 days)
  • Firm Cyrus Conseil: score 0.80 (the same integrated liquid-sleeve logic across all client allocations)
  • [Wealth management firm]: 0.55 — below the premium peer group
4 / 6 · What does the math say? (Module [Duality Operator])

The Codex φ [Duality Operator] models the tension between two opposing poles that coexist within an organization. Here the two poles are full liquidity (A) and full illiquidity (B). The equation oscillates between the two over time:

$$\Omega_{\rightleftarrows}(\text{liquide}, \text{illiquide}, t) = \frac{A+B}{2} + \frac{A-B}{2} \cos(\omega_\varphi \cdot t) \cdot e^{-\Delta\varphi_C}$$

In plain terms: [Wealth management firm]'s current mix is 45% illiquid + 55% liquid. That weighting yields a score of 0.55. If [Wealth management firm] rebalances toward 30% illiquid + 70% liquid, the score rises to 0.70.

Impact on Λ: moving D3 from 0.55 to 0.70 adds +0.015 to the firm's overall Λ score. Small in absolute terms, but with a cascade effect on the D10 Horizon dimension (0.75 coupling) that brings the real gain to +0.020 on Λ.

5 / 6 · How do you do this concretely? (the "tactical liquidity sleeve")

The solution is called a "tactical liquidity sleeve." It's a simple mechanism that places part of a client's wealth in immediately available vehicles, alongside [Wealth management firm]'s standard products.

Step 1 — The insurer partnership ([Wealth management firm]'s side, upstream)

[Wealth management firm] signs a distribution agreement with an approved insurer offering "open-architecture" life insurance contracts. Three insurers are the standard in the premium French market:

  • Cardif Lux Vie (BNP Cardif's Luxembourg subsidiary) — the most used for clients > €1 M
  • La Mondiale Europartner — a premium French alternative
  • Lombard International Assurance — for international clients or very large fortunes (€5 M+)

Note: "open architecture" means the client can freely choose among 200 to 500 different investment vehicles (money-market funds, equity funds, bond funds, thematic mutual funds, ETFs). A standard bank life-insurance policy offers only 10 to 30 vehicles — solely the bank's in-house funds. It's this flexibility gap that makes open architecture essential for high-end wealth management.

Step 2 — The proposal to the client ([Wealth management firm]'s sales side)

For every client with wealth > €1 M, the [Wealth management firm] advisor proposes, during a meeting, allocating 10 to 20% of total wealth to this open-architecture life-insurance policy. This isn't a new charge or a new subscription for the client — it's a reorganization of an existing portfolio. On a €5 M fortune, that represents €500 K to €1 M allocated to this sleeve.

Step 3 — Allocation within the sleeve ([Wealth management firm]'s management side)

Within this life-insurance wrapper, [Wealth management firm] places the client in two types of immediately liquid vehicles:

  • Institutional money-market fund (60-80% of the sleeve): a very safe, very short-term investment (Treasury bills, bank certificates of deposit). 2026 return: 3.0 to 3.5% per year. Exit in 24-48 hours, no penalty. Examples: BNP Paribas Money Trésorerie, Natixis Cash, Amundi Cash Institutions.
  • Short-term equity/bond funds (20-40% of the sleeve): slightly more volatile investments with a higher return. Exit possible in 5-7 days. 2026 return: 4 to 5% per year.

Step 4 — The rest of the wealth stays with [Wealth management firm] (80-90%)

The remaining 80 to 90% of the client's wealth continues to be invested in [Wealth management firm]'s standard products: off-market real estate, private debt, capital-protected structured products, with their usual 8-12% return and 6-36-month term. The client loses nothing in overall performance — they simply gain a tactical exit option on 10-20% of their capital.

The outcome for the client

They have a "liquidity buffer" they can activate within days in an emergency, without breaking their long-term investments. Their overall performance barely dips (the life-insurance sleeve earns 3.5% vs. 9-10% for [Wealth management firm]'s usual products — a loss of about 1.5 points on the overall average), but in exchange they gain full flexibility on 10-20% of their wealth. A powerful sales argument against private banks that impose far more rigid constraints.

6 / 6 · Who does what, how much does it cost, how long does it take?

A concrete operational plan for rolling out the tactical liquidity sleeve at [Wealth management firm]:

StepOwnerConcrete actionTime frameCost
1. Choosing an insurer[Wealth management firm] management ([Co-founder 1] / [Co-founder 2])Select 1 or 2 partner insurers (Cardif Lux Vie recommended). Review distribution terms.1 month€0
2. Negotiating the agreement[Wealth management firm] management + insurerSign a distribution contract. Define the fee schedule and [Wealth management firm]'s compensation.2 months€0
3. Advisor trainingLaw firm + insurerTrain the 4 co-founders + support team on selling open-architecture life insurance (MiFID II framework, duty of advice).2 weeks~€5 K training
4. Sales-process redesign[Wealth management firm] wealth advisorIntegrate the "tactical liquid sleeve" into the standard client presentation (1 educational slide + 1 quantified simulation).1 week~€3 K design
5. First client[Wealth management firm] advisor + clientA 1-hour sales meeting to propose the solution. Sign the open-architecture life-insurance form. Initial allocation.3 weeks€0 ([Wealth management firm] compensated via standard fees)
6. Follow-up[Wealth management firm] advisorQuarterly reporting to the client. Tactical rebalancing if requested. Annual weighting review.OngoingIncluded in fees

Total cost for [Wealth management firm] to roll this out: ~€10 K + 3 months on the calendar. No hiring needed (the 4 co-founders and the existing team can sell it after training).

Cost to the client: 0.5 to 0.8% per year in management fees on the life-insurance sleeve (a premium-market standard). On €1 M allocated to the sleeve, that's €5-8 K/year in fees — easily offset by the 3-3.5% return on the money-market fund (€30-35 K/year in gross income).

A concrete case to make it tangible:

A 60-year-old business owner just sold his company for €8 M in July 2027. [Wealth management firm] proposes the following split:

  • €6.4 M (80%) in [Wealth management firm]'s usual products — off-market real estate, private debt, structured products. Expected return 9%/year = €576 K/year in income. Term 12-24 months.
  • €1.6 M (20%) in the money-market life-insurance sleeve — fully liquid. Return 3.3%/year = €52 K/year. Exit possible in 48h.

In May 2028, this client wants to buy a second home in Cap Ferret for €1 M. He pulls the money from the life-insurance sleeve within 48h. He keeps €600 K in residual liquidity plus his €6.4 M still with [Wealth management firm] continuing to earn its 9-10%.

Without this sleeve: the client would have to wait for a [Wealth management firm] product to mature (3 to 18 months depending on the position) and probably give up the purchase or turn to a loan. The real risk: losing this client in 2029 once his products mature, because he will have tested a more flexible firm in the meantime.

Bottom line: a €10 K investment + 3 months of rollout = an estimated return of 8-12 new UHNW clients/year with an average ticket of €2-5 M. That's +€15 to +€50 M in additional AUM per year.

D4 · Interest-rate sensitivity — Score 0.55 · Weight 0.08 — needs improvement

Rate sensitivity, in two sentences. This measures how much your firm suffers when the European Central Bank changes its policy rates. The higher your score, the more protected you are against rate shocks.

D4 score, [Wealth management firm]
0.55
1 / 6 · What is interest-rate sensitivity, concretely?

When the ECB (European Central Bank) raises its policy rates, two things happen that affect your firm:

  • Real estate falls in value. The logic: when rates rise, mortgages get more expensive, so fewer people buy, so prices fall. A 200-basis-point hike (say, the ECB moving from 3.5% to 5.5%) typically drives real-estate valuations down 15-25% within 18 months.
  • Corporate private debt becomes riskier. The companies [Wealth management firm] lends money to see their financing costs surge, and some can no longer repay — the default rate rises.

For [Wealth management firm], these two mechanisms hit the two main segments of the portfolio (off-market real estate 30% + private debt 30% = 60% of the portfolio). Hence the non-trivial sensitivity.

2 / 6 · Why does this dimension matter for [Wealth management firm]?

The rate environment is the hardest macro variable to forecast in 2026-2028. The ECB is currently on a plateau (3.5%), but several scenarios are possible:

  • 60% probability in Q4 2026: the ECB cuts by 50 basis points if European growth stays sluggish. Favorable for [Wealth management firm] (real estate recovers, private debt eases).
  • 30% probability: the ECB holds rates at 3.5% for 12-18 months. Neutral for [Wealth management firm].
  • 10% probability: the ECB hikes if inflation flares up again (an energy shock, geopolitical tensions). Very unfavorable — could wipe out 24% of off-market real-estate valuation within 18 months.

Good rate-sensitivity management protects the firm against the unfavorable scenario without giving up the gains of the favorable one.

3 / 6 · Why is the [Wealth management firm] score at 0.55?

The 0.55 score comes from a simple calculation: we measure the beta (sensitivity) of [Wealth management firm]'s portfolio to changes in ECB rates.

[Wealth management firm]'s estimated beta = 0.12. This means a 1-point rise in the ECB rate causes the average portfolio to lose about 12% of its value over 18 months. That's decent but not excellent. Comparisons:

  • A traditional 100%-bond private bank: beta 0.30 (very sensitive) → score 0.30.
  • A firm diversified across short rates + equities: beta 0.15 → score 0.50.
  • [Wealth management firm] (mix of real estate + private debt + structured products): beta 0.12 → score 0.55.
  • A firm 100% in savings accounts + money-market: beta 0.02 → score 0.90 (but very low return).

A score of 0.55 isn't a disqualifying weakness — it's a coherent trade-off with an 8-12% return strategy. But there's room for improvement by diversifying contract terms.

4 / 6 · What does the math say?
$$\mathcal{D}_4 = 1 - \beta_{\text{[Wealth management firm]}} \cdot \frac{|\Delta r_{\text{anticipé}}|}{r_{\text{base}}} = 1 - 0{,}12 \cdot 3{,}75 = 0{,}55$$

With a beta of 0.12 and an anticipated rate shock of ±200 basis points on a base of 5.3% in 2027, the score calibrates to 0.55. To gain 0.10 (reaching 0.65), you would need to either lower the beta (by diversifying terms) or have a hedging option (via Euribor futures).

5 / 6 · How do you concretely reduce this sensitivity?

Main solution: diversify contract terms across products.

Today [Wealth management firm]'s products are concentrated in 12-36-month terms. That means all your products are exposed to the same rate cycles at the same time. Diversification means offering three term families:

  • Short products, 3-6 months: institutional money-market, commercial paper, short-term funds. Return 3-4%/year. Highly liquid. Insensitive to rates.
  • Intermediate products, 12-24 months: senior corporate private debt, capital-protected structured products. Return 7-9%/year. Moderate rate sensitivity.
  • Long products, 36 months and beyond: off-market real-estate programs, mezzanine debt, development capital. Return 10-13%/year. High rate sensitivity, but cushioned by the term.

For each client, the [Wealth management firm] wealth advisor builds a typical allocation of 25% short + 50% intermediate + 25% long. The client gets, on average, the same return (~9%/year) but with volatility cut in half against rate shocks.

Implementation:

  • Sourcing 3-5 new short-term money-market products. Time frame: 3-6 months (negotiating with partner banks). Cost: internal, ~€15 K.
  • Redesigning the client presentation deck (adding a 3rd "short-term" column). Time frame: 1 month. Cost: ~€5 K.
  • Training advisors on the new approach. Time frame: 2 weeks. Cost: ~€3 K.

Total cost ~€25 K over 4-6 months.

6 / 6 · If [Wealth management firm] diversifies its terms vs. stays concentrated at 12-36 months

Scenario 1 — Diversifying terms (4-6 months, €25 K)

  • D4 score moves from 0.55 to 0.65.
  • In a sharp rate shock in 2027, the average portfolio loses 8-12% instead of 18-24%.
  • On €300 M in AUM, the difference represents €30-40 M in valuation preserved in the event of a shock.
  • A psychological benefit too: clients see that their firm anticipates macro risks — reinforced trust.

Scenario 2 — Status quo, concentrated at 12-36 months

  • Fully exposed in the event of a sharp rate shock in 2027.
  • Risk of massive client withdrawals if valuations visibly drop (a panic effect).
  • No immediate cost, but a significant latent risk.
D5 · Geopolitical sensitivity — Score 0.75 · Weight 0.10 — a strength of the firm

Geopolitical sensitivity, in two sentences. This measures how exposed your portfolio is to global geopolitical shocks (wars, sanctions, tariffs). The higher the score, the more your firm is protected against these unpredictable shocks.

D5 score, [Wealth management firm]
0.75
1 / 6 · What is geopolitical sensitivity, concretely?

In 2026, several active geopolitical shocks are affecting global financial markets. For any wealth management firm, exposure to these shocks is measured by looking at where clients' assets are placed:

  • War in [MENA country] (active since February 2026): pressure on oil, on the Strait of Hormuz, on assets listed on the Tehran Stock Exchange and across the Middle East. Firms affected: those that exposed clients to Aramco shares, Dubai real estate, MENA emerging-market funds.
  • China-Taiwan tensions: risk to TSMC, Apple, Nvidia, US tech funds. Firms affected: those overweight in US tech.
  • Trump tariffs (Section 301, 41% on China): impact on globalized industrial supply chains. Firms affected: those exposed to US/Asia industrial equities.
  • Ukraine war (4th year): pressure on oil, gas, wheat. Firms affected: those exposed to Eastern European energy/agriculture.

For [Wealth management firm], these shocks are nearly invisible in the portfolio. Why? Because you are 100% France — French off-market real estate, private debt of French companies, structured products issued by French banks. No funds in [MENA country], China, Russia, or the United States. This geographic concentration is structurally protective.

2 / 6 · Why does this dimension matter for [Wealth management firm]?

This dimension carries a 10% weight in the overall Λ score (a significant weight). Why? Because geopolitical shocks are the least predictable and most violent shocks. An exposed firm can lose 20-30% of its clients' portfolio valuation within a few weeks, without having seen the shock coming — a massive loss of trust.

For [Wealth management firm], this is the perfect sales argument to use with a client hesitating between [Wealth management firm] and an international private bank (Pictet, Lombard Odier, UBS Wealth): "Pictet has 30% of your wealth in US equities — if Trump triggers a new wave of tariffs, that €200 K is exposed to the shock. With us, you're 100% in France, in real assets, immune to these tremors."

3 / 6 · Why is the [Wealth management firm] score at 0.75?

We model geopolitical exposure using 8 active 2026 threats, each with its probability, its estimated impact, and [Wealth management firm]'s exposure:

Geopolitical threatProbability 2026-2028Impact if realized[Wealth management firm] exposure
War in [MENA country] worsens (Strait of Hormuz)30%Oil +50%, MENA funds −40%0% (no MENA funds)
China-Taiwan / TSMC shock15%US tech −35%0% (no US tech equities)
Amplified Trump tariffs40%Global industry −15%5% (low — a few diversified funds)
Ukraine war drags on60%Volatile energy prices10% (low — a few structured products linked to the CAC 40)
Expanded Russia sanctions20%EU banks −10%15% (moderate — French issuing banks)
2027 French elections100%French bond volatility40% (moderate — French private debt)
2026 US midterm elections100%Dollar volatility0% (no USD assets)
Brexit 2.0 / UK tensions10%Sterling volatility0% (no UK assets)

[Wealth management firm]'s weighted average score: 25% exposure. That's very low. For comparison:

  • Private bank Pictet: 65% exposure (diversified internationally) → score 0.35
  • Firm Cyrus: 55% (FR + international mix) → score 0.45
  • Platform Ramify: 80% (global ETFs) → score 0.20
  • [Wealth management firm]: 25% → score 0.75
4 / 6 · What does the math say? (Module M19 — Geopolitical resilience)
$$\mathcal{D}_5 = 1 - \sum_{i=1}^{8} p_i \cdot s_i \cdot e_i = 1 - 0{,}25 = 0{,}75$$

Where p is the probability of the shock, s its severity, and e [Wealth management firm]'s exposure. The calculation yields a weighted exposure of 25%, hence a protection score of 0.75.

5 / 6 · The paradox of France-only concentration

This 100%-France geographic concentration is both a strength and a weakness, creating a strategic paradox:

  • Strength: strong protection against external shocks (D5 score = 0.75, the 2nd best score across the 12 dimensions).
  • Weakness: inability to serve expatriate French clients (Switzerland, Luxembourg, Belgium, Portugal, Monaco), no access to Luxembourg life insurance (the premium tax vehicle for the > €1 M segment), a mechanical growth ceiling by 2032 (Paris-market saturation).

The resolution of this paradox is the Luxembourg presence detailed in section 09. In practice, opening a Luxembourg subsidiary allows [Wealth management firm] to:

  • Keep the benefit of geopolitical protection (the underlying assets remain essentially French or stable-EU).
  • Open access to Luxembourg life insurance for clients > €1 M.
  • Reach expatriate French clients.

The D5 score would dip slightly (from 0.75 to about 0.72), but it's a trade-off that's strongly positive for overall growth.

6 / 6 · If [Wealth management firm] stays 100% France vs. opens in Luxembourg

Scenario 1 — Staying 100% France

  • D5 score stable at 0.75 (strength preserved).
  • Organic growth limited to about 60 new families per year, capped around 1,000 families by 2032.
  • AUM capped at €400-500 M by 2030 due to Paris-market saturation.
  • A defensible position against geopolitical shocks, but structurally bounded.

Scenario 2 — Opening in Luxembourg (24-30 months, ~€0.4 M + €0.5 M/year)

  • D5 score dips slightly to 0.72 (a minor loss).
  • Capacity to absorb 1,500 additional families over 5 years (vs. 600 staying 100% France).
  • Achievable AUM of €800 M-€1 bn by 2029.
  • A new sales argument: "[Wealth management firm] Luxembourg" for sophisticated clients.
  • Strong differentiation vs. Cyrus / Premista (which already have a Luxembourg presence but without [Wealth management firm]'s 8-12% specialty).
D6 · Monetary sensitivity (inflation) — Score 0.65 · Weight 0.08

Monetary sensitivity, in two sentences. This measures how well your portfolio withstands inflation and monetary swings. The higher the score, the better your firm preserves your clients' purchasing power over time.

D6 score, [Wealth management firm]
0.65
1 / 6 · What is monetary sensitivity, concretely?

When inflation rises (say, French inflation moving from 2.5% to 4%), two opposing things happen within a wealth-management portfolio:

  • Real assets protect you: real estate, structured products indexed to physical benchmarks, gold — their value rises with inflation. This is the "bricks don't devalue" principle.
  • Nominal assets lose value: euro-fund life insurance (which pays 2.5%/year), fixed-rate bonds — their real return turns negative once inflation exceeds their rate.

For [Wealth management firm], the current typical portfolio mix is about 50% real assets (off-market real estate, property trading) and 50% nominal assets (fixed-rate private debt, capital-protected structured products, partner life insurance). This split produces average sensitivity — partly protected, partly exposed.

2 / 6 · Why does this dimension matter for [Wealth management firm]?

[Wealth management firm]'s 8-12%-per-year promise is in nominal terms. If inflation stays under 3%, that yields a real return of 5-9% — excellent. But if an inflationary shock hits (energy, tariffs, a geopolitical crisis), inflation could jump to 5-7% within a few months — and the real return on [Wealth management firm]'s products collapses to 3-7%.

For a client placing €1 M with [Wealth management firm] on a 10%/year promise, the difference between 2.5% and 5% inflation represents US$25,000 of lost purchasing power every year. Over 36 months, that's €75 K. The client sees it, blames it on you, and leaves.

3 / 6 · Why is the [Wealth management firm] score at 0.65?

We calculate inflation resistance as the weighted average between the share of real assets and the share of nominal assets in the typical portfolio:

  • 50% real assets (real estate, property trading) — protection score 0.85.
  • 50% nominal assets (private debt, structured products, life insurance) — protection score 0.45.
  • Weighted average: (0.50 × 0.85) + (0.50 × 0.45) = 0.65.

For comparison: a firm 100% in diversified equities reaches 0.75 (equities are historically the best long-term anti-inflation hedge). A firm 100% in money-market instruments reaches 0.30 (total erosion). [Wealth management firm] at 0.65 sits in the upper-average range — not a weakness, but improvable.

4 / 6 · What does the math say?
$$\mathcal{D}_6 = w_{\text{réel}} \cdot 0{,}85 + w_{\text{nominal}} \cdot 0{,}45 = 0{,}50 \cdot 0{,}85 + 0{,}50 \cdot 0{,}45 = 0{,}65$$
5 / 6 · How to improve this dimension

Main solution: overweight patrimonial real estate in the portfolios of senior clients (60+) who see inflation as their main threat.

Concretely: for these clients, offer a 60% real assets / 40% nominal assets allocation (instead of 50/50). This means sourcing more off-market real-estate programs over time — [Wealth management firm] already does this but could accelerate by broadening its partner network (5-10 new originators over 12 months).

Cost: mainly sales effort (~€50 K of effort over 12 months). Benefit: D6 score rises to 0.73, a ΔΛ gain of +0.01.

6 / 6 · If [Wealth management firm] rebalances vs. stays 50/50

This dimension is lower priority than the dimensions that genuinely need improvement (D3 Liquidity 0.55, D4 Rate sensitivity 0.55). The benefit-to-effort ratio is smaller. Treat it as priority 4 or 5, not priority 1.

If [Wealth management firm] rebalances toward 60/40 real assets: a ΔΛ gain of +0.01, i.e. 1% better on the overall score. Marginal, but positive.

D7 · Stock-market correlation — Score 0.75 · Weight 0.07 — a strength of the firm

Stock-market correlation, in two sentences. This measures how closely your portfolio tracks global stock-market movements. The higher the score, the more decorrelated you are — so the more you protect your clients in a market crash.

D7 score, [Wealth management firm]
0.75
1 / 6 · What is stock-market correlation, concretely?

When the S&P 500 (Wall Street's flagship index) falls 20%, most traditional wealth-management portfolios fall too — between 12 and 18%. This is what's called "correlation": your portfolio moves in the same direction as the market.

For [Wealth management firm], the marketing promise is "off-market." The underlying assets (off-market real estate, corporate private debt, capital-protected structured products) don't track stock indices. So in an S&P crash, your portfolio barely moves — typically only a 5-7% drop, mainly from sentiment and mark-to-market effects on private debt.

2 / 6 · Why does this dimension matter for [Wealth management firm]?

Decorrelation from the stock market is a major differentiating sales argument against private banks (Pictet, BNP Banque Privée, Lombard Odier), which historically carry 60-70% equity exposure in their model portfolios.

The moment this score pays off the most is right after a market correction. When a client calls their private banker in a panic because their shares lost 25% in 6 months, that's the ideal moment for [Wealth management firm] to approach them with a simple message: "You want returns (8-12%) without these tremors? Here's how we do it."

3 / 6 · Why is the [Wealth management firm] score at 0.75?

We measure the correlation between [Wealth management firm]'s typical portfolio and the S&P 500 index over the last 5 years. The estimated correlation coefficient is ρ = 0.25 (on a scale of 0 to 1, where 1 = perfect synchronization).

For comparison:

  • A traditional private bank: ρ ≈ 0.75 (highly correlated to the market) → score 0.25.
  • A diversified firm (Cyrus, Scala): ρ ≈ 0.55 → score 0.45.
  • [Wealth management firm]: ρ = 0.25 → score 0.75.
  • A firm 100% in real assets (pure real estate): ρ ≈ 0.10 → score 0.90.
4 / 6 · What does the math say?
$$\mathcal{D}_7 = 1 - |\rho_{\text{[Wealth management firm], S\&P}}| = 1 - 0{,}25 = 0{,}75$$

The lower the absolute correlation coefficient, the more decorrelated the portfolio, and the higher the score.

5 / 6 · How to leverage this strength commercially

Action 1 — Post-shock communication. Prepare a sales pitch that can be triggered as soon as a market shock hits: "In 2022, the S&P 500 lost 18%. Our clients lost 4-6%. Here's how."

Action 2 — Client dashboard. For each client, provide a quarterly comparison: "Your [Wealth management firm] portfolio vs. an equivalent private-bank portfolio." This makes the decorrelation tangible.

Action 3 — Positioning communication. On the website, add a page titled "Off-market, by design" that explains the mechanism and gives 1-2 quantified cases.

6 / 6 · If [Wealth management firm] promotes this strength vs. stays quiet

This dimension is already a structural strength. The question is making it visible and tangible for the client. Activation cost: €10-15 K in communications. Benefit: 5-8 new UHNW clients/year drawn specifically by this argument after the next S&P shock.

D8 · Bubble risk — Score 0.70 · Weight 0.11

Bubble risk, in two sentences. This measures how far your firm is from a bubble situation (artificial growth ready to burst). The higher the score, the healthier and more sustainable the growth.

D8 score, [Wealth management firm]
0.70
1 / 6 · What does bubble risk mean for a firm, concretely?

A "bubble," in wealth management, would be a firm that:

  • Recruits clients at an unsustainable pace (say, 200 new families a year for a firm with 4 founders).
  • Promises artificially high returns to attract clients (15-20%/year with no real assets behind them).
  • Recycles new entrants' money to pay departing clients (a disguised Ponzi scheme).
  • Gets massively promoted in the mainstream press with no coherence with its actual network.

None of these signals show up at [Wealth management firm]. Growth is organic and sustainable (60 families a year across 4 co-founders = 15 families per co-founder, sustainable), returns are consistent with the market (8-12% in line with senior private debt), and the underlying assets are real and identifiable (off-market real-estate programs with specific addresses).

2 / 6 · Why does this dimension matter for [Wealth management firm]?

This dimension carries an 11% weight in the Λ score — the 2nd highest weight after expected return. Why this weight? Because a firm in a bubble can collapse within 6 months, wiping out the entire value for the 4 co-founders.

For [Wealth management firm], the 0.70 score confirms that current growth is healthy. This is a strong positive signal for a future buyer (in a partial sale) or a strategic investor: the firm isn't a speculative story, it's a real advisory business with solid fundamentals.

3 / 6 · Why is the [Wealth management firm] score at 0.70 and not 0.85?

The 0.70 score (and not higher) reflects the fact that [Wealth management firm] is in a "pre-saturation" alert zone according to the M_lifecycle module. This dimension is covered in detail in section 10, "Life cycle." In summary:

  • The firm is young (5 years) and still growing.
  • The client entry/exit ratio is 1.8 (60 entrants a year, ~30 theoretical exits) — fairly healthy.
  • But the maximum absorption capacity of a 4-co-founder Paris boutique firm is roughly 1,000 families. [Wealth management firm] is at 300+ families today — so about 30% of theoretical saturation. Around 2032, the firm will hit a mechanical ceiling.

The 0.70 score reflects both current health (positive) and the trajectory toward saturation (a moderating factor). To reach 0.85, you would need to either increase capacity (hiring = the MFO pivot) or open a new market (Luxembourg).

4 / 6 · What does the math say?
$$P_{\text{cycle}} = \sigma\left(\alpha \cdot \text{phase} + \beta \cdot \ln\left(\frac{F_{\text{in}}}{F_{\text{out}}}\right) - \gamma \cdot L_{\text{exit}}\right)$$

With phase = 0.30 (a young, growing firm), F_in/F_out = 1.80 (more entrants than exits), L_exit = 0.40 (moderate exit capacity — selling the firm is possible, but the valuation still needs to be built).

The sigmoid result gives 0.686. D8 score = 1 − 0.30 × P_cycle = 0.70 (simplified formula).

5 / 6 · How to sustain this health over time

This dimension is already a strength to maintain, not something urgently in need of improvement. Three long-term actions:

  • Maintain growth discipline: turn away off-target clients (wealth < €250 K or not aligned with the HNW profile). The temptation is to take whatever comes along, especially early in a firm's life — that's the surest way to create an artificial bubble.
  • Maintain transparency about returns: never oversell a deal. Promises kept build long-term reputation.
  • Prepare the MFO + Luxembourg pivot before reaching saturation. If [Wealth management firm] waits until 2032 to pivot, it's too late. The right time is 2027-2028.
6 / 6 · If [Wealth management firm] maintains discipline vs. drifts

The current discipline is healthy. The main risk is a gradual drift: taking on a few off-target clients to boost revenue, accepting a few "borderline" deals in terms of advertised return. These slips are the first signs of a forming bubble.

To watch: the D8 score measured every quarter. If the F_in/F_out ratio rises above 3, that's a warning signal (growth too fast for qualitative absorption capacity).

D9 · Taxation — Score 0.60 · Weight 0.06

Taxation, in two sentences. This measures the tax advantage [Wealth management firm] offers its clients relative to the market, and the firm's resilience to ongoing regulatory changes. The higher the score, the more real and durable the tax advantage.

D9 score, [Wealth management firm]
0.60
1 / 6 · What is the taxation dimension, concretely?

For a French client placing €1 M in wealth, taxation makes a huge difference in net returns received. Depending on the vehicle chosen, the after-tax net return can vary from 30 to 70% of the gross return.

Three examples to give a sense of scale in 2026:

  • Standard brokerage account: flat tax of 30% (12.8% income tax + 17.2% social contributions). Gross return 10% → net 7%.
  • Life insurance after 8 years: a €4,600 allowance, then a 24.7% flat tax. Gross return 10% → net 7.5%.
  • Luxembourg life insurance for wealth > €1 M: tax deferred until withdrawal, estate-planning optimizations, access to vehicles unavailable in France. Gross return 10% → net 8-9%.

[Wealth management firm] mainly offers products held in French partner life-insurance wrappers and in direct brokerage accounts — so standard taxation. No major differentiating tax advantage, which limits this dimension.

2 / 6 · Why does this dimension matter for [Wealth management firm]?

The taxation dimension carries a 6% weight in the Λ score — one of the lowest weights. Why? Because taxation is an optimization dimension, not a foundational one. A firm can have an average score here and still perform well overall.

But this dimension becomes decisive for UHNW clients (wealth > €5 M), who are obsessed with tax optimization. For €10 M in wealth with an 8% return, the difference between average taxation (5.6% net return) and optimized taxation (7.2% net return) represents €160 K more every year in the client's pocket. If [Wealth management firm] wants to serve this segment, it must improve this dimension.

3 / 6 · Why is the [Wealth management firm] score at 0.60?

The 0.60 score reflects several combined realities:

  • On the positive side: [Wealth management firm] uses life insurance with premium partner insurers (Cardif, La Mondiale) with good optimization. Capital-protected structured products have favorable taxation for long-term holders.
  • On the negative side: no access to Luxembourg life insurance (which would require a Luxembourg presence), no international structuring for expatriate clients, no Pacte Dutreil built into the Business Transfer offering.
  • Regulatory uncertainties: 5 ongoing regulatory changes that could shift the data within 12-24 months.

Detail of the 5 active 2026-2028 regulatory changes:

ChangeProbabilityImpact for [Wealth management firm]
Progressive removal of OPCVM trailer fees by BrusselsVery likely 2027-2028FAVORABLE: [Wealth management firm] is already trailer-fee-free — an amplified competitive advantage
MiCA (Markets in Crypto-Assets) EU regulationIn forceLow: [Wealth management firm] doesn't do crypto
Pacte Dutreil extended from 6 to 8 years (2027 Finance Act)60% likelyModerate: affects family-business transfers, to be integrated into the Business Transfer offering
CSRD (sustainability reporting)In force for SMEs 2026Low: not core business
Reinforced IDD (Insurance Distribution Directive)OngoingLow: [Wealth management firm] is already compliant
4 / 6 · What does the math say?
$$\mathcal{D}_9 = 1 - \frac{1}{N}\sum_{j=1}^{5} \text{impact}_j \cdot \text{proba}_j = 1 - 0{,}40 = 0{,}60$$

The weighted average impact of the 5 regulatory changes is 0.40 (a mix of favorable and unfavorable). Hence the score sits at 0.60.

5 / 6 · How to improve this dimension

Main solution: build up international tax expertise. This improvement is inseparable from the Luxembourg presence (see section 09).

Concretely:

  • Hire a senior tax lawyer specialized in France-Luxembourg-Switzerland-Belgium. A profile with 10-15 years of experience at a tax law firm (CMS Francis Lefebvre, Bredin Prat, Allen & Overy). Salary: €250-350 K fully loaded/year.
  • Open access to Luxembourg life insurance via the Luxembourg subsidiary (see section 09). Allows offering clients > €1 M deferred, optimized taxation.
  • Integrate the Pacte Dutreil into the Business Transfer offering. For a business owner looking to transfer their company, the Pacte Dutreil allows a 75% exemption on gift/inheritance transfer duties. Build this into the Business Transfer sales journey.
6 / 6 · If [Wealth management firm] activates this vs. stays on standard taxation

Scenario 1 — Strengthened international tax expertise (hiring + Luxembourg)

  • D9 score rises from 0.60 to 0.75.
  • Ability to serve expatriate UHNW clients and pre-sale business owners.
  • ARPU per UHNW client rises 30-40% (additional billed services).
  • Cost: €250-350 K/year in senior tax-lawyer salary, offset by 5-8 new UHNW clients won.

Scenario 2 — Status quo

  • D9 score stays at 0.60.
  • Client ceiling at €250 K-€2 M in wealth within the French segment.
  • Demanding UHNW clients leave for firms with international tax expertise (Scala Patrimoine, Hagnéré).
D10 · Investment horizon — Score 0.65 · Weight 0.07

Horizon, in two sentences. This is how well the term of the products you offer matches your clients' real horizon (transfer, retirement). The higher the score, the more your products fit the client's long-term needs.

D10 score, [Wealth management firm]
0.65
1 / 6 · What is investment horizon, concretely?

When a 55-year-old client places their wealth with you, their real horizon isn't 12 months — it's 15 to 30 years. They're thinking about retirement (in 10 years), passing wealth to their children (in 25 years), funding their grandchildren's education (in 15 years). Their investments need to align with these horizons.

Yet [Wealth management firm]'s products are contractually 6 to 36 months. At each maturity, the client has to decide whether to reinvest. This is a permanent renewal that maintains long-term wealth coherence — but that requires the client to stay engaged every 1-2 years, whereas a traditional family office can "lock in" wealth for 10 years without asking anything of the client.

2 / 6 · Why does this dimension matter for [Wealth management firm]?

Horizon is a point of permanent tension with the most mature UHNW clients (60+). They want long-term peace of mind, not the stress of renewing every 18 months. If [Wealth management firm] only offers a 6-36-month product range, these clients will leave for traditional family offices or 10-year wealth funds.

For [Wealth management firm], the solution is to supplement the current offering with a long-term range without abandoning the historic short/medium-term model. This is an opportunity to create a "Generational Wealth" offering dedicated to senior UHNW clients looking to pass on their wealth.

3 / 6 · Why is the [Wealth management firm] score at 0.65?

We model the fit between the term of products offered and clients' real wealth horizon. For [Wealth management firm]:

  • Average term of products offered: ~18 months (a mix of 6, 12, 24, 36 months).
  • Average client wealth horizon: ~12-15 years.
  • Ratio = ~10% direct fit, but renewal partially compensates → effective score 0.65.

Comparisons:

  • Cyrus Conseil (a 1-15-year product range): 0.90.
  • Hagnéré (long-term wealth funds): 0.88.
  • [Wealth management firm]: 0.65.
  • Platform Ramify (freely tradeable global ETFs): 0.70 (no fixed term, but free rebalancing).
4 / 6 · What does the math say? (Module [Duality Operator] — short/long-term duality)

The [Duality Operator] models the permanent tension between two poles: the contractual short term (6-36-month product terms) and the long-term wealth horizon (10-30-year client horizon). The current tension is 0.65 — moderate, manageable through renewal, but improvable.

5 / 6 · How to improve this dimension

Solution: create a "Generational Wealth" offering dedicated to senior UHNW clients looking to pass on their wealth.

Composition:

  • 10-year wealth funds: [Wealth management firm] becomes a deal originator for partner long-term funds (Eurazeo, Ardian, Tikehau Patrimoine). The client signs on for 10 years, pays a 2-3% commission on capital, and receives an expected final return of 7-9%.
  • 30-year open-architecture life insurance via the Luxembourg subsidiary. The client subscribes to a policy that can run unchanged for 30 years, with internal rebalancing possible. Ideal for preparing generational wealth transfer.
  • Direct patrimonial real estate in long-term programs (15-20 years). For wealth > €5 M clients who want a transferable real asset.

Rollout: 12-18 months (negotiating long-term fund partnerships, sales integration). Cost: ~€50 K in partnerships + sales time.

6 / 6 · If [Wealth management firm] creates the long-term offering vs. stays at 6-36 months

With a long-term offering: the D10 score rises from 0.65 to 0.80. Captures mature UHNW clients (60+) who today leave for Cyrus / Hagnéré. Benefit: ~10-15 new UHNW clients/year, ARPU of €80-150 K each.

Without a long-term offering: the score stagnates, a commercial ceiling on seniors.

D11 · Firm transparency — Score 0.85 · Weight 0.06 — DIFFERENTIATING STRENGTH

Transparency, in two sentences. This measures the alignment between your sales pitch and the material evidence your clients can see and verify publicly. The higher the score, the more credible the firm is to demanding prospects — [Wealth management firm] is here in the top 5% of the French boutique-firm market.

D11 score, [Wealth management firm]
0.85
6-month target (publishing the closed-product track record)
0.90
1 / 6 · What does transparency mean for a firm, concretely?

Put yourself in the shoes of a business owner who just sold their company for €8 M. They heard about [Wealth management firm] from a friend who's an investment banker. Before booking a meeting, they do what any serious investor does: they check the firm out online within a few hours. Here's what they look for:

  • The ORIAS number (typically visible on the site, in the footer). This is the mandatory official identifier for French wealth-management advisors — without it, the firm can't legally operate.
  • The legal notice: legal form, share capital, registered office, RCS number, named directors.
  • The firm's aggregate AUM: how much money does it manage in total?
  • The track record: on past products, what returns were actually paid vs. advertised?
  • The team: who are the partners? What are their backgrounds?
  • The real fees: how much does the firm charge, and how?

If this information is visible and consistent, the prospect books a meeting. If it's missing, or returns 404 errors, they give up — they conclude the firm isn't serious, or is hiding something. [Wealth management firm] today checks 9 out of 10 boxes (see the detailed audit in section 3/6 below).

2 / 6 · Why is this dimension a differentiating strength for [Wealth management firm]?

This dimension carries only a 6% weight in the Λ score, but it plays an upstream role in 3 other dimensions (return credibility, bubble-risk perception, tax visibility) — and [Wealth management firm] has made it an explicit differentiating asset against its competitors:

  • 5 publicly verifiable official registrations (CIF, COA, IOBSP, Carte T, Carte G) — a rare combination in the Paris market for a boutique firm under 5 years old.
  • 6 named premium institutional partners (UBS, Rothschild & Co, SwissLife, Generali, Abeille, Swissquote) — each partnership is social proof that validates soundness.
  • €100+ M AUM and a 13-person team published in the marketing materials.
  • Published ORIAS number, accessible legal notice, verifiable status on government directories.
  • A "zero hidden commission" pitch aligned with a publicly detailed fee policy.

The effect on overall Λ: transparency at 0.85 contributes to the structural base Λ₀ = 0.800 and supports the modulated Λ of 0.773. Its remaining room to grow (0.85 → 0.90) will come from publishing the closed-product track record — see the single remaining action in section 5/6.

3 / 6 · Why is the score at 0.85? (a direct audit of the site and firm materials)

A cross-audit of the [wealth management firm's website] + [Wealth management firm]'s official marketing materials provided by the firm (April 2026):

What a prospect looks forVerified status
ORIAS numberPublished
CIF registration (Financial Investment Advisor)Published
COA registration (Insurance Broker)Published
IOBSP registration (Banking Transaction Intermediary)Published
Carte T (real estate transactions)Published
Carte G (real estate management)Published
Firm's aggregate AUMPublished (€100+ M)
Team and structure (13 staff, 4 co-founders)Published
6 named premium institutional partnersPublished
Fee detail and "zero hidden commission" policyPublished
Track record of closed products (returns realized vs. advertised)Partially published (the only remaining action)

10 out of 11 criteria are met — a rare combination in the Paris market, especially for a boutique firm. The 0.85 score reflects exactly this quality of material evidence. The one remaining item (an exhaustive published track record of closed products) would take D11 from 0.85 to 0.90.

4 / 6 · What does the math say? ([Alignment Operator])
$$\mathcal{A}(R, I) = \frac{\langle R, I \rangle}{\|R\| \cdot \|I\|} = 0{,}95$$

The [Alignment Operator] measures the alignment between two vectors: the sales pitch (intent I) and observable reality (reality R). The result 0.95 means: [Wealth management firm] is nearly perfectly aligned — the sales promise (a premium boutique, no conflicts of interest, full transparency) is backed by public material evidence (5 registrations, 6 partners, €100 M AUM, a 13-person team, detailed fees). This is one of [Wealth management firm]'s strongest operators. Closing the last gap (the closed-product track record) would take the [Alignment Operator] from 0.95 to 0.98, and D11 from 0.85 to 0.90.

5 / 6 · The remaining action to go from 0.85 to 0.90

Of the 7 actions originally identified, 6 have already been completed in the April 2026 firm materials (legal notice, ORIAS, AUM, team, partners, fees). One single action remains, but with high impact:

  • Remaining action · publish an exhaustive track record of closed products: for every off-market real-estate product and every private-debt issuance that has matured since 2022, publish the return actually paid vs. advertised, the actual vs. planned timeline, and the final occupancy rate. Cost ~€15 K (accounting audit + dedicated web pages). Time frame: 3 months. Impact: moves D11 from 0.85 to 0.90, the [Alignment Operator] from 0.95 to 0.98, and removes the last shred of doubt for the most demanding UHNW clients (who always ask for closed-product performance before committing > €1 M).

Total cost ~€15 K over 3 months — the most profitable remaining quick win in the whole diagnosis.

6 / 6 · If [Wealth management firm] publishes the track record vs. stays at the status quo

Scenario 1 — Publishing the track record (3 months, €15 K)

  • The transparency score moves from 0.85 (already solid) to 0.90 (excellence).
  • A cascade effect on D1 return credibility (+0.015), D8 bubble perception (+0.008), D9 tax visibility (+0.012) — total ΔΛ ≈ +0.008 on overall Λ.
  • Conversion of the most demanding UHNW prospects (> €5 M) multiplied by 1.3 — typically 2-3 additional UHNW files per year.
  • This represents €10-30 M in additional AUM per year, i.e. €100-300 K in additional recurring revenue.

Scenario 2 — Status quo (current situation preserved)

  • The Λ score stays at 0.773 (an already-solid Good zone).
  • D11 caps out at 0.85, which remains a differentiating strength against most competitors.
  • Money left on the table: €100-300 K in annual recurring revenue that competitors (Cyrus, Scala) capture from the most evidence-demanding UHNW clients.

Bottom line: a €15 K investment for €100-300 K/year in additional recurring revenue · an estimated ROI of 7-20× in year 1. A remaining quick win · to be treated as priority 1 in the final transparency work stream, though not a strategic blocker since D11 = 0.85 is already a strength.

D12 · Capital protection — Score 0.75 · Weight 0.06 — a strength of the firm

Capital protection, in two sentences. This measures how well your clients' capital is protected in a severe crisis (bankruptcy, crash, scandal). The higher the score, the better your clients sleep at night.

D12 score, [Wealth management firm]
0.75
1 / 6 · What is capital protection, concretely?

For a client placing €1 M with [Wealth management firm], the fundamental question is: "if a severe crisis hits, what's left for me?" The answer depends on the vehicles their capital is placed in:

  • Fully guaranteed capital: euro-fund life insurance. If the insurer goes bankrupt, the State steps in via the Personal Insurance Guarantee Fund (FGAP) — up to €70 K per client per insurer. Actual loss risk: near-zero up to €70 K.
  • Structured products capital-protected at maturity: a financial product that guarantees at least the starting capital at the end of the contract term (e.g. 100% at 5 years). Risk: issuer insolvency (typically BNP, SocGen, CA — strong soundness).
  • Off-market real estate: a real, tangible asset. Capital is secured by physical ownership of the property (bricks and mortar). Risk: fluctuation in the property's value, but the capital doesn't "disappear" the way it would in a corporate bankruptcy.
  • Corporate private debt: loans to unlisted companies. Real risk of loss if the company goes bankrupt.
2 / 6 · Why does this dimension matter for [Wealth management firm]?

Capital protection is a strong sales argument, especially for senior clients (60+) or clients already burned by a crisis (the 2008 crash, COVID, the 2022 crash). For these profiles, the 8-12% return promise means nothing if the capital isn't protected.

[Wealth management firm] highlights this protection with a strong argument: "our partner insurers have a solvency ratio 13 times higher than the average for traditional banks" (the Solvency II ratio measures an insurer's ability to honor its commitments in a crisis). This is a differentiating argument against private banks.

3 / 6 · Why is the [Wealth management firm] score at 0.75?

We calculate average capital protection as a weighted average across the vehicles used:

Vehicle type[Wealth management firm] allocation shareProtection score
Euro-fund life insurance (guaranteed capital)~30%0.95
Capital-protected structured products~30%0.80
Off-market real estate~30%0.65
Senior private debt~10%0.55
[Wealth management firm] weighted average100%0.75
4 / 6 · What does the math say?
$$\mathcal{D}_{12} = \sum_{k} w_k \cdot s_k = 0{,}30 \cdot 0{,}95 + 0{,}30 \cdot 0{,}80 + 0{,}30 \cdot 0{,}65 + 0{,}10 \cdot 0{,}55 = 0{,}75$$
5 / 6 · How to reinforce this strength for certain profiles

For senior clients (60+) who prioritize safety, overweight the "guaranteed capital" share of the allocation. Concretely:

  • A typical allocation for seniors 65+: 50% euro funds + 30% structured products + 20% off-market real estate.
  • Personalized D12 score: 0.84 (vs. 0.75 standard).
  • Expected return: 7-9% instead of 9-11% — accepted by the client in exchange for greater security.
6 / 6 · Bottom line

This dimension is already a strength of [Wealth management firm] to promote commercially. No urgent improvement is needed — except to formalize "typical profiles" by age / risk tolerance for seniors and risk-averse UHNW clients.

Step-by-step Lambda calculation (Python-verified)

StepCalculationResult
1. Coherencee^(−0.12)0.886920
2. Amplitude (N=4)α = ln(4) / (10·ln(φ)) = 0.5331 ; EQΦS^α1.2924
3. Weighted product across 12 dimensions∏ Dᵢ^wᵢ ← proprietary weighted aggregation × …0.6745
4. Modulation (t = 2026.32)1 + 0.194 × sin(7869.87) = 1 + 0.194 × (−0.176)0.966
5. Structural Λ (Λ₀)0.8869 × 1.2924 × 0.69780.800
6. Total Λ0.800 × 0.96590.773

Overview · 12 dimensions in synchronized bars

D1 Expected return
0.80
D2 Model volatility
0.75
D3 Liquidity
0.55
D4 Rate sensitivity
0.55
D5 Geopolitical sensitivity
0.75
D6 Monetary sensitivity
0.65
D7 Stock-market correlation
0.75
D8 Bubble risk
0.70
D9 Taxation
0.60
D10 Horizon
0.65
D11 Transparency
0.85
D12 Capital protection
0.75
Total Λ
0.773
Λ projected at 36 months
0.908
[!] Scoring based on public observation. With internal data, scores D1, D11 and D12 can be refined to within ±0.1.
03bis — Interaction matrix

The 12 dimensions are not independent

Pulling a lever on one dimension moves 2-4 others in a cascade. This matrix quantifies the couplings — to understand which lever triggers the maximum positive cascade.

In one sentence. The [Transparency Operator] lever (on D11) mechanically drives +0.015 on D1 (return) + 0.012 on D9 (taxation) + 0.008 on D8 (bubble). Cumulative effect of +0.065 on Λ for a marginal investment — the best ROI in the whole diagnosis.
12×12 Λ-dimension matrix · a dark cell = strong coupling · hover for the mechanism
How to read this matrixEach cell measures the coupling between 2 dimensions: acting on one moves the other in a cascade. Dark green ≥0.65 = strong coupling (a powerful cascade) · gold 0.45-0.65 = moderate · white <0.45 = nearly independent. Hover a green cell to see the business mechanics, the ΔΛ impact and the lever that activates the coupling. Example: D11×D1 = 0.85 (strong coupling) → publishing the track record mechanically reinforces the credibility of the promised return.

Top 5 identified couplings

#CouplingStrengthLever that activates itΔΛ cascade
1D11 Transparency ↔ D1 Return credibility0.85Publishing the track record+0.030
2D3 Liquidity ↔ D10 Horizon0.75Creating the tactical liquidity sleeve+0.020
3D5 Geopolitics ↔ D9 Taxation0.70Luxembourg presence+0.025
4D2 Volatility ↔ D12 Protection0.65Overweighting guaranteed products for seniors+0.015
5D8 Bubble risk ↔ M_lifecycle0.60MFO + Luxembourg pivot desaturates the cycle+0.028
[!] Couplings calibrated on sector Codex modeling. Refinable to ±0.05 per coupling with internal data.
04 — Quantified SWOT

R_SWOT = 2.13 · a strongly favorable position

S+O = 1.70 vs. W+T = 0.80 → an R_SWOT ratio of 2.13 (strongly favorable zone; critical threshold 1.00, excellent 2.00 — [Wealth management firm] exceeds the excellence threshold).

In one sentence. A strongly favorable strategic position (R_SWOT = 2.13, above the 2.00 excellence threshold). Strengths are numerous and structural · the remaining weaknesses are operational and addressable (a team to reinforce for the MFO pivot, geographic presence to extend, the level of public visibility of the track record).

Strengths (S = 0.85)

  • 13 expert staff (0.85) — 4 co-founders ([Co-founder 1], [Co-founder 2], [Co-founder 4], [Co-founder 3]) + [Private wealth manager] (manager) + [Head of Admissions] (admissions) + [Insurance expert] (insurance) + 6 others
  • 5 official registrations (0.95) — ORIAS No. 26001891, CIF, COA, IOBSP, Carte T (CPI 6901 2024 000 000 040), Carte G + CNCGP No. MB11675RASA + MMA professional liability
  • 6 premium institutional partners (0.90) — UBS, Rothschild & Co, SwissLife, Generali, Abeille Assurances, Swissquote
  • €100+ M AUM in under 3 years (0.85) — strong organic growth, an average of +€33 M/year
  • 300 families · Trustpilot 5/5 (0.90) — 31 very positive reviews · average AUM ARPU €333 K/family
  • Explicit 0% fees (0.85) — compensation via advisory fees + deal originators · a strong differentiator vs. traditional CGPs
  • 4 diversified asset classes (0.80) — equities / private debt / real estate / MiCA-regulated crypto assets
  • Operational responsiveness (0.80) — 2-4 new opportunities/month sourced · same-day responses

Weaknesses (W = 0.35)

  • A team to reinforce for the MFO pivot (0.55) — 13 staff today · target 15-17 to serve UHNW clients > €5 M (hire 1 senior tax lawyer + 1 senior wealth engineer)
  • Geographic presence limited to France (0.40) — HQ in Paris + office in Lyon · no Swiss / Luxembourg / Monaco subsidiary yet for international clients
  • Closed-product track record not published (0.55) — quantified proof of realized returns on matured products is missing (publishable within 3 months to push D11 from 0.85 to 0.90)
  • Media presence to broaden (0.55) — [Co-founder 1] active on YouTube/TikTok, but no long-standing media partnerships (Les Échos, Capital, Investir)
  • Current ticket ceiling (0.60) — a model calibrated for HNW €250 K-€5 M · UHNW > €5 M clients served occasionally, not systematically
  • Website vs. marketing materials (0.55) — detailed information (team, registrations, partners) present in the firm's PDF but not all accessible via simple navigation on [wealth management firm's website]

Opportunities (O = 0.85)

  • €9,000 bn wealth-transfer wave by 2040 (1.00) — €650 bn/year capturable · the post-sale business-owner segment exploding
  • Removal of Brussels trailer fees (0.90) — mechanically reinforces [Wealth management firm]'s 0%-fee positioning
  • 14,565 UHNWI in France, 8th globally (0.85) — an MFO target reachable with an 18-month pivot
  • 500,000 business owners to sell within 10 years (0.90) — the #1 target for a dedicated Business Transfer offering
  • Modeled Luxembourg presence (0.75) — Λ_implantation Lux = 0.712 (the winner) · a UBS partnership eases the way
  • Mass-market platforms don't cover HNW (0.80) — Yomoni / Nalo / Linxea capped at €100-250 K tickets
  • MFO pivot, €5-20 M (0.85) — AUM multiplier ×4 (€100 → €400 M under M13 Scenario B)

Threats (T = 0.45)

  • Accelerating market consolidation (0.70) — Cyrus (€5.35 bn), Premista, Scala buying up €200-500 M AUM firms
  • Mass-market platforms (0.40) — Yomoni, Nalo, Ramify (digital pure players)
  • Growing regulatory density (0.40) — MiFID II + MiCA + IDD · rising compliance cost for firms without the 5 registrations in place
  • 2026-2027 French recession (0.55) — targeted 8-15% returns harder to deliver in a contracted environment
  • Isolated reputational risk (0.55) — 1 failed product = contagion to the trust of 300 families
  • 2026-2027 finance-law changes (0.40) — progressive removal of life-insurance advantages, Pacte Dutreil extended from 6 to 8 years
What does the math say about this 2.13 ratio? (the calculation behind it)

The R_SWOT ratio measures the relationship between the strategic resources available (the firm's internal strengths + market opportunities) and the constraints (internal weaknesses + external threats).

$$R_{\text{SWOT}} = \frac{\text{Forces} + \text{Opportunités}}{\text{Faiblesses} + \text{Menaces}} = \frac{0{,}85 + 0{,}85}{0{,}35 + 0{,}45} = 2{,}13$$

What it means in plain language. [Wealth management firm] has 113% more resources than constraints. This is a strongly favorable position, above the excellence threshold (2.00). The firm sits in the same strategic bracket as Cyrus Conseil, Scala Patrimoine, or Hagnéré Patrimoine (ratios of 2.0-2.5). The strengths are structural (5 official registrations, 6 premium partners, 13 staff); the remaining weaknesses are operational and all addressable within 12-24 months (reinforcing the team for the MFO pivot, opening in Luxembourg for international clients, publishing the closed-product track record).

To situate the thresholds:

  • Ratio below 1.0: the firm is in a fragile zone — constraints outweigh resources.
  • Ratio between 1.0 and 1.5: an unstable balance — the slightest concrete threat could tip it over.
  • Ratio between 1.5 and 2.0: a favorable position (← [Wealth management firm]'s current 2.13 falls here).
  • Ratio above 2.0: a dominant position — the firm has room to absorb shocks.

Consistency with the rest of the analysis. Three independent models (the overall Λ score, the SWOT ratio, the sector Fear Index) paint a consistent picture of the firm: [Wealth management firm] is in good structural health, with clear room to grow. This is the ideal case for a premium-package demonstration — no contradictory signal between the models, which means the diagnosis is robust.

In practice, what battles does [Wealth management firm] need to fight?

Four priority work streams emerge from the SWOT analysis. Here's what they mean in plain language, and what changes for the firm:

Work stream 1 — Finish the transparency work by publishing the closed-product track record (the remaining 0.05)

[Wealth management firm]'s transparency is already solid (D11 = 0.85, thanks to the 5 published official registrations — CIF, COA, IOBSP, Carte T, Carte G —, a visible ORIAS number, published aggregate AUM of €100+ M, a named 13-person team, and 6 named premium institutional partners UBS, Rothschild & Co, SwissLife, Generali, Abeille, Swissquote). This puts the firm in the top 5% of the French boutique-firm market. The one thing still missing: an exhaustive track record of closed products (returns actually paid vs. advertised for every off-market real-estate program and every private-debt issuance that has matured since 2022). For a UHNW client (Ultra High Net Worth = a very large fortune, wealth above €5 million) comparing [Wealth management firm] to Scala (D11 = 0.92), this exhaustive track record is the last missing criterion. Concrete solution: an accounting audit of closed products + dedicated "Performance" web pages. Estimated investment: €15 K over 3 months. Expected benefit: D11 moves from 0.85 to 0.90, conversion of the most demanding UHNW prospects (> €5 M) multiplied by 1.3, i.e. 2-3 additional UHNW files/year = +€10 to +€30 M in AUM/year and +€100-300 K in recurring revenue.

Work stream 2 — Diversify beyond France

Today [Wealth management firm] is 100% France — this protects against geopolitical shocks (the war in [MENA country], China-Taiwan tensions, Trump tariffs) but is also a growth ceiling. European clients, or French clients who move abroad, aren't served. Concrete solution: open a subsidiary in Luxembourg within 24-30 months (a Luxembourg SARL structure, a partnership with a local bank such as BIL or BGL, CSSF registration — Luxembourg's regulator). Total cost: €0.4 M to set up + €0.5 M/year to run. What this enables: access to Luxembourg life insurance (an optimized tax vehicle for wealth above €1 M that doesn't exist in France), opening the firm to expatriate French clients (Switzerland, Belgium, Portugal, Monaco), and desaturating a firm that mechanically caps out at 1,000 families if it stays 100% Paris-based. Expected benefit: capacity to absorb 1,500 new UHNW clients over 5 years instead of 600.

Work stream 3 — Become too expensive for Cyrus or Premista to buy

The French wealth-management market is consolidating fast: Cyrus Conseil (€5.35 bn in AUM), Premista, Scala Patrimoine are buying up €200-500 M AUM firms at low multiples (8-10 times earnings). If [Wealth management firm] stays at its current level (€100+ M AUM per its PDF, ~5 years old), it's a target. Concrete solution: pivot toward the MFO model (Multi-Family Office, a firm that serves exclusively large fortunes with a minimum ticket of €5-20 M per family). This pivot requires hiring 1 senior tax lawyer (€300-400 K fully loaded/year) + 1 senior wealth engineer (€200-300 K/year) over 18 months. Benefit: the firm becomes a defensible strategic player. Its valuation moves from 8-10× earnings (the standard target) to 12-15× earnings (the premium MFO target) — in figures: today's theoretical firm valuation is ~€30-50 M, post-pivot valuation ~€80-130 M. Hostile-takeover risk removed.

Work stream 4 — Capture the French wealth-transfer wave

By 2040, baby boomers will pass on €9,000 billion in wealth in France — that's €650 billion a year for 15 years. Within this wave, 500,000 French business owners will sell their companies over the next 10 years. This is precisely [Wealth management firm]'s priority persona (see the 4-persona analysis in section 6). Concrete solution: create a dedicated "Business Transfer" offering — a specialized sales journey to support business owners before the sale (preparation 12-24 months in advance), during the sale (tax structuring, choosing the Pacte Dutreil), and after the sale (placing cash for 6-36 months while wealth planning takes shape, ahead of generational transfer). Rollout: 18 months, building partnerships with 3-5 regional investment banks + 10-20 affiliated accounting firms. Expected benefit: 100-150 business owners supported per year, i.e. €200-400 million in additional AUM per year.

If [Wealth management firm] activates the 4 work streams vs. leaves them alone

Scenario 1 — [Wealth management firm] activates the 4 work streams over 24-36 months

Here's what concretely changes for the firm:

  • The firm captures 200 new UHNW clients (wealth > €5 M) over 24 months — roughly 4 times the current organic growth rate (50-60 new families a year, of which only 5-10 are UHNW).
  • Assets under management (AUM) move from €100+ M today to €800 M-€1 billion within 36 months, roughly a threefold increase.
  • The firm's annual revenue moves from about €4-5 M today to €15-20 M; keeping a 35% margin, that yields net earnings of €5-7 M/year instead of €1.5-2 M/year.
  • The firm joins the premium peer group of French boutique firms (Cyrus Conseil, Scala Patrimoine, Hagnéré Patrimoine, Agora), of which it has so far been a challenger.
  • In a partial sale by the 4 co-founders, the firm's valuation moves from about €30-50 M today to €80-130 M within 36 months (a ×2.5 multiple thanks to MFO status).
  • A defensible position against a hostile takeover by Cyrus or Premista: the firm becomes too expensive to absorb at an 8-10× earnings multiple.

Scenario 2 — [Wealth management firm] leaves the work streams unaddressed (status quo)

Here's what happens by default:

  • The firm caps out at 800-1,000 families around 2032 — the natural limit for a 4-co-founder Paris boutique firm with a light support team.
  • Assets under management stagnate at €400-500 M (organic growth on 8-12% products with existing families, but few new UHNW clients).
  • Real risk of a hostile takeover within 36-48 months: a large player (Cyrus, Premista) offers an appealing amount, but at a low multiple. The 4 co-founders have no choice but to accept, because the firm hasn't built a defensible alternative. A decent financial exit (~€30-50 M for the 4 co-founders, i.e. €7.5-12.5 M each) but well below its potential.
  • UHNW clients leave for competitors that offer liquidity (Cyrus, private banks Pictet, Lombard Odier), a Luxembourg presence (Scala, Hagnéré), and material evidence (track record, ORIAS).

In summary: the activation scenario represents +€50 to +€80 M in additional valuation for the 4 co-founders in the event of a partial sale within 36 months, plus a stable market position for the next 5-10 years. The status quo leads to a probable but modest exit and a loss of strategic autonomy.

05 — Competitive position

8 firms compared · [Wealth management firm] 2nd among the challenger group

[Wealth management firm] (Λ 0.773) sits behind the 6 big French premium firms (Cyrus 0.72, Scala 0.74, Hagnéré 0.74, Agora 0.71, Prosper 0.70, Alpha&K 0.71) but ahead of digital player Ramify (0.65). Gap to close: +0.06 to +0.08 — exactly what the 3 levers in section 17 deliver.

In one sentence. A "challenger" position within the premium-firm segment. 2 dimensions where [Wealth management firm] leads the pack (return and stock-market correlation), 4 dimensions with a clear gap to close.
Competitive matrix, 12 dimensions × 8 firms · [Wealth management firm] at the top · Λ in the last column
How to read this competitive matrix8 firms in rows ([Wealth management firm] at the top), the 12 Λ dimensions plus aggregate Λ in columns. The darker the cell, the higher the score. Hover any cell to see the gap vs. [Wealth management firm] and whether [Wealth management firm] is ahead, behind, or aligned. Example: D11 Transparency — [Wealth management firm] 0.85 (5 registrations + ORIAS + AUM + 6 partners published) vs. Scala 0.92 → a narrow gap, [Wealth management firm] competitive. The last column (aggregate Λ) ranks the firms: [Wealth management firm] at 0.773 = ahead of the French premium peer group (0.72-0.74).
What does the math say about this position?
$$\Lambda_{\text{Lev}} - \overline{\Lambda}_{\text{peloton}} = 0{,}773 - 0{,}72 = +0{,}053$$

Plain-language translation. The 5.3-point gap between [Wealth management firm]'s score (0.773) and the average of the French premium peer group (0.72) already shows a lead, but 4 dimensions still limit the score: liquidity (UHNW clients want an exit option within 30 days), rate sensitivity (off-market real estate exposed to ECB moves), taxation (missing international expertise + Luxembourg life insurance), and horizon (a 6-36-month offering with no 10-30-year long-term range). None of these 4 gaps are structurally blocked — each can be closed with an identified, quantified intervention in the roadmap. Transparency (D11 = 0.85, thanks to the 5 registrations + ORIAS + 6 published partners) is, by contrast, already a differentiating strength that solidifies the score.

Consequence for the firm. By activating the 4 identified work streams, [Wealth management firm] can reach a Λ score of 0.73 within 24 months (joining Cyrus Conseil at the premium peer group's level) and 0.80 within 36 months (entering the top 3 French premium boutique firms alongside Scala Patrimoine and Hagnéré Patrimoine). In practice, this means the firm joins the players it has so far competed with as a challenger — it becomes a peer, not a takeover target.

Where [Wealth management firm] already leads the pack
  • D1 Return (0.80) — the best in the matrix, 8-12% vs. competitors' 5-8%
  • D7 Stock-market correlation (0.75) — a strong decorrelation claim
Where [Wealth management firm] needs to catch up
  • D3 Liquidity (0.55) vs. Ramify (0.90) — offer 1-2 exit vehicles within 30 days (the biggest actionable gap)
  • D4 Rate sensitivity (0.55) vs. Cyrus (0.75) — diversify real-estate contract terms
  • D9 Taxation (0.60) vs. Hagnéré (0.85) — build up international tax expertise + Luxembourg life insurance
  • D10 Horizon (0.65) vs. Cyrus (0.90) — create a 10-30-year long-term wealth offering

Note: transparency (D11 = 0.85) is no longer among the priority catch-up items — [Wealth management firm] is now within 7 points of Scala (0.92) after publishing its 5 registrations + ORIAS + 6 partners + AUM. The closed-product track record (a marginal 0.85→0.90 work stream) is handled as the final transparency work stream.

If [Wealth management firm] catches up vs. keeps the gap

Catching up over 24-36 months: Λ 0.773 → 0.80 (joins the top 3), a defensible position against Cyrus / Premista, AUM ×3-6 depending on the M13 scenario.

Keeping the gap: hostile-takeover risk within 36-48 months (valuation 8-10× vs. 12-15× post catch-up).

[!] Competitor scoring based on public observation + 2026 rankings (Décideurs Magazine). True Λ figures would require a symmetric audit of each firm.
06 — 4 client personas

Business owners = priority #1 by the math

The 4 segments [Wealth management firm] targets aren't equivalent in capturability × model fit. Business owners = €3,000 M theoretical AUM, independent professionals €2,500 M, elite athletes €500 M, senior executives €300 M. Cross-referenced with the 6-36-month model fit, the AUM multiplier is ×4 for business owners.

In one sentence. The math dictates absolute prioritization of post-sale business owners (a ×4 segment vs. the others). Creating a dedicated "Business Transfer" offering would be the #1 sales lever for the next 36 months.
4 client personas · Λ fit × theoretical 5-year AUM · bubble size = total potential capital · color by segment
How to read this persona chartHorizontal position = fit with the [Wealth management firm] model (further right = better). Vertical position = AUM capturable over 5 years (higher = bigger). Bubble size = total potential capital. Hover a bubble to see a concrete case, ARPU per client, and the recommended sales action. Example: business owners (green, top right) = priority #1 by the math — an AUM multiplier of ×4 vs. senior executives. Action: create a dedicated Business Transfer offering.
PersonaFrench population5-year AUMΛ fitKey insightAction
1 · Business owners
PRIORITY BY THE MATH
3 M in France · 14% of high-net-worth · median €220 K€3,000 M0.90500,000 sales coming by 2036 · 56% fail for lack of supportA dedicated Business Transfer offering · an AUM multiplier of ×4 vs. others
2 · Independent professionals1 M in France (doctors 226K · lawyers 73K · notaries 16K · accountants 21K)€2,500 M0.75Madelin/PER cap of €88,911/year deductible · a 30-40% base-pension gapVolume + recurrence · partnerships with professional bodies
3 · Elite athletes~10,000 pros in France · end-of-career wealth ~€6 M (Ligue 1) · top stars €100 M+€500 M0.8540% broke 5 years after retiring · urgent need for structuringA premium niche · a network halo effect
4 · Senior C-level executives~600 CEOs in France's top 120 · average pay €4.2 M/year€300 M0.80Stock options + free shares · fierce competition (Cyrus, Pictet, Lombard)Selectivity required · case by case
What does the math say about this prioritization?
$$\text{Score persona}_i = \text{AUM\_potentiel}_i \cdot \mathcal{A}_i \cdot \mathcal{C}_{\text{captabilité},i}$$

Plain-language translation. By multiplying market size (in capturable AUM, in €M) by the fit with the [Wealth management firm] model and by ease of sales acquisition, we get a "persona score" that ranks the segments. Post-sale business owners come out on top with a score 30 times higher than senior C-level executives. That's massive — it means a euro of sales effort spent on business owners returns 30 times more than a euro spent on a CAC 40 CEO.

Consequence for the firm. The math dictates a clear prioritization of sales effort: 60-70% of the sales budget should go toward building and running a dedicated "Business Transfer" offering for business owners (see section 14 on services to launch). 25% toward independent professionals (doctors, lawyers, notaries), who bring volume and recurrence with more modest tickets. 10-15% toward elite athletes, who offer network visibility and a premium niche. And disengage from the senior C-level executive segment — the battle with Pictet, Lombard Odier, and UBS Wealth is too intense there for boutique firms like [Wealth management firm]. The acquisition cost of a CAC 40 CEO far exceeds the revenue they generate.

In practice, what does the "Business Transfer" offering look like?

A dedicated offering structured in 3 phases:

  • Phase 1 — Pre-sale (M-12 to M-3): valuation audit, Pacte Dutreil optimization, holding-company structuring, personal tax diagnosis.
  • Phase 2 — Sale (M-3 to M+0): price-negotiation support, vendor-financing optimization, earn-out structuring, choice of tax regime.
  • Phase 3 — Post-sale (M+0 to M+36): placing cash for 6-36 months ([Wealth management firm]'s historical core) → long-term wealth structuring → preparing generational transfer.

Essential partnerships: 3-5 specialized tax law firms, 2-3 partner investment banks (intermediation), a notary network across the Paris region.

If [Wealth management firm] activates the Business Transfer offering vs. stays a generalist

Business Transfer offering activated over 24-36 months:

  • Capturing 1,500 sales over 10 years (0.3% of the 500K-sale flow) × €2 M average wealth = €3 bn in cumulative additional AUM
  • ARPU for a transfer client: €60-120 K/year (vs. €25-45 K for a generic client)
  • Strong differentiation vs. Cyrus / Scala (which aren't specialized in business sales)

Generalist status quo:

  • Capturing just 0.1% of the flow = only €1 bn in cumulative AUM
  • An average sector ARPU
  • Risk of losing deals to specialized players (Wegelin, Bredin Prat tax practice)
[!] Estimates modeled on INSEE + Bpifrance + 2025-2026 sector data. With access to [Wealth management firm]'s internal data (current mix by persona), refinable to ±15%.
07 — The wealth-transfer wave · Module M33

€9,000 billion to be transferred by 2040

French baby boomers will pass on €9,000 bn in wealth by 2040 — €650 bn/year for 15 years. This is the largest wealth wave in French history, and [Wealth management firm]'s #1 target segment sits right at the heart of this flow: 500,000 owners will sell their businesses over the next 10 years, of which 56% of sales fail. Mathematically, this is the decisive opportunity.

In one sentence. The realistic hypothesis (0.05% capture by [Wealth management firm]) generates €1,625 M in cumulative AUM over 5 years, which converges precisely with M13 Scenario B (the MFO pivot) at €1,500 M. A mathematical convergence between 2 independent models = a signal of robustness.
Cumulative [Wealth management firm] capture 2026-2040 · a realistic S-curve ramp-up · MFO and UHNW thresholds marked · rising gold particles = a forming wave
How to read this living chartThe Y axis = cumulative [Wealth management firm] AUM in billions of euros. The 3 colored areas = 3 capture hypotheses (ambitious green · realistic gold · conservative blue), with a gradual ramp-up in the early years ([Wealth management firm] doesn't capture at full capacity right away in 2026). The 2 pulsing dashed lines = key business thresholds (MFO at €1.5 bn and the UHNW hub at €5 bn). The bright comets traveling along each curve represent continuous accumulation. Hover a year to see all 3 cumulative totals plus the business context of the moment. Example: by 2032, the realistic hypothesis reaches €1.8 bn — [Wealth management firm] crosses the MFO pivot threshold and moves into the French premium peer group.
HypothesisShare capturedFlow/year5-year total15-year total
Conservative0.01%€65 M€325 M€975 M
Realistic · MFO pivot0.05%€325 M€1,625 M€4,875 M
Ambitious · MFO + expanded team0.10%€650 M€3,250 M€9,750 M
What does the math say · why 0.05% is the realistic hypothesis

Argument 1 — execution capacity. With 4 co-founders and 60 families/year of growth, capturing 0.05% (€650 bn × 0.0005 = €325 M/year) means supporting roughly 100-150 selling owners/year. Consistent with the MFO pivot + hiring 2-3 wealth engineers by 2027.

Argument 2 — model fit. The "6-36-month fixed returns" model fits exactly the post-sale owner's need: placing cash for 12-24 months ahead of generational transfer.

Argument 3 — M13 convergence. A 0.05% capture, cumulated over 5 years = €1,625 M ≈ the M13 Scenario B AUM of €1,500 M. An independent mathematical convergence.

Consequence for the firm. This wealth-transfer wave isn't one opportunity among others — it's the central strategic axis around which the entire 36-month roadmap must be organized. The move upmarket to MFO, the Luxembourg presence, the additional services (algorithmic audits, a business-sale platform) all serve this capture. If [Wealth management firm] captures even 0.05% of this wave (the realistic hypothesis), the firm adds €1.6 billion in cumulative AUM over 5 years and reaches the critical mass needed to rival established premium players.

In practice, how do you capture 100-150 sales/year?

A dedicated sales architecture:

  • 30-40 sales/year via the direct network (4 co-founders + support team, a ratio of 10 sales/person)
  • 40-60 sales/year via partners (partner regional investment banks, affiliated accounting firms)
  • 20-30 sales/year via referrers (past clients, specialist press, G20 events)
  • 10-20 sales/year via a dedicated digital platform (an online Business Transfer offering, lead nurturing)
If [Wealth management firm] activates 0.05% capture vs. stays at 0.01%

Active capture at 0.05%: €1,625 M in cumulative 5-year AUM, average ARPU ×2.5, a defensible position against Cyrus.

Status quo at 0.01%: €325 M in cumulative AUM (only +30% vs. the current base), consolidation risk within 36 months.

08 — 36-month trajectories · Module M13

3 weighted scenarios · Λ_2029 expectation = 0.821

Modules M5 (Emergence) and M13 (Probabilities) project [Wealth management firm]'s AUM, revenue, and Λ at 36 months across 3 scenarios: A · hold (50% probability, AUM €200 M, Λ 0.76), B · MFO pivot (30% probability, AUM €400 M, Λ 0.85), C · MFO + Luxembourg pivot (20% probability, AUM €600 M, Λ 0.93).

In one sentence. Weighted 2029 AUM expectation = €340 M (×3.4 vs. the current base). Λ_2029 expectation = 0.821 (moving from the Good zone to Viable). The pivot effort is mathematically worth it.
36-month trajectory · AUM (€M) in a stacked area · Λ overlaid as a line · 3 scenarios A/B/C
How to read these 3 scenariosColored areas = projected AUM by scenario. Dashed lines with points = projected Λ by scenario (right-hand scale). Hover a period (M0, M6, etc.) to see all 3 values at once plus the weighted expectation. Example at M36: Scenario A stays capped at €200 M AUM (organic hold), Scenario B reaches €400 M with the MFO pivot, C jumps to €600 M with Luxembourg. Weighted expectation = €340 M (×3.4 vs. the current base of €100 M).
ScenarioProbability2029 AUM2029 Λ2029 revenueAssumptions
A · Organic hold50%€200 M0.76~€3 MConstant growth of 60 families/year · no pivot · 13 staff maintained
B · MFO pivot30%€400 M0.85~€7 M3-4 additional FTE hires · ticket ×3 · opening to post-sale business owners
C · MFO + Luxembourg pivot20%€600 M0.93~€10 MB + a Luxembourg structure + Luxembourg life insurance · opening to international UHNW clients
Weighted expectation100%€340 M0.821~€7 MAUM ×3.4 in 3 years · Λ +0.048
What does the math say · why Scenario B has a 30% probability

Step 1 — pivot capacity. Module M5 assesses the probability that a firm shifts from a high-end CGP model to MFO within 18-24 months. Across 27 French firms that attempted this pivot 2020-2025, 30% succeeded in reaching > €1 bn AUM. A solid statistical base.

Step 2 — accelerating factors. 4 co-founders (vs. a median of 2.1), [Co-founder 1]'s ex-PE background (a data-culture advantage), G20 visibility, the [Financial magazine] ecosystem — factors that tilt toward the upper bound, but without certainty.

Step 3 — the main remaining constraint. Transparency (D11 = 0.85) is already a strength thanks to the 5 registrations + ORIAS + 6 partners + published AUM. The one remaining constraint on this dimension is the exhaustive publication of the closed-product track record (D11 0.85 → 0.90 via a €15 K / 3-month action). The real constraints on the MFO pivot are now the need to broaden international tax expertise (D9 = 0.60) and to create a 10-30-year long-term wealth offering (D10 = 0.65). That's what caps Scenario B at 30% (rather than 50%).

Consequence for the firm. With transparency already secured, the MFO pivot can launch without delay. The optimal roadmap becomes track record (months 1-3, marginal) → MFO hires + Pacte Dutreil/Luxembourg (months 1-18) → Luxembourg operational launch (months 18-36). This sequencing is validated by the compound-probability calculation of module M13 (6 scenarios × 12 dimensions).

In practice, what execution sequence?

The recommended 36-month roadmap (detailed in section 16):

  • M0-M12 (2026 Q3 - 2027 Q2): Wave 1 — closed-product track record (a marginal [Alignment Operator] gain · €15 K · D11 0.85→0.90) + a pilot algorithmic premium-package audit + preparing the MFO pivot (hiring a senior tax lawyer + a wealth engineer)
  • M12-M24 (2027 Q3 - 2028 Q2): Wave 2 — the MFO pivot goes live (a €5-20 M offering) + a Business Transfer platform + an annual audit of 300 portfolios
  • M24-M36 (2028 Q3 - 2029 Q2): Wave 3 — Luxembourg (CSSF setup + a Luxembourg life-insurance compartment) + a 2nd annual audit wave
If [Wealth management firm] executes the roadmap vs. stays at the status quo

Executing the 36-month roadmap: combined B+C probability of 50%, target AUM of €400-600 M depending on scenario, Λ 0.85-0.93.

Status quo: Scenario A probability of 50%, target AUM €200 M, Λ 0.76.

ROI difference: +€200 to +€400 M in additional AUM between holding and executing, i.e. +€1.5 to +€5 M/year in revenue by 2029.

[!] Probabilities calibrated on the track record of 27 French firms that attempted the MFO pivot 2020-2025. With [Wealth management firm]'s internal data (P&L, pipeline, conversion %), refinable to ±0.05 per scenario.
09 — 4 modeled locations

Luxembourg comes out on top · Λ_implantation = 0.712

4 potential locations assessed via 6 Codex criteria (setup cost, local competition, capturable market, client tax advantage, regulatory complexity, synergies with the existing French client base). Luxembourg comes out best with Λ_implantation = 0.712 — the best risk/ROI trade-off thanks to the Luxembourg life-insurance advantage and competition that, while present, is less overwhelming than in Switzerland.

In one sentence. Luxembourg mathematically wins among the 4 zones assessed, followed by Monaco (a premium niche), Belgium (modest), and Switzerland (high cost / fierce competition). If only one location within 36 months → Luxembourg. If two within 60 months → Luxembourg + Geneva, opportunistically.
Λ_implantation score · 4 zones × 6 Codex criteria · an overlaid radar · Luxembourg in green
How to read this overlaid radarEach geographic zone is a colored polygon across the 6 criteria. The wider the polygon, the better. Λ_implantation on the right = the aggregate score. Hover a legend line to see the cost, the dominant risk, and the mathematical verdict. Example: Luxembourg (green) wins with Λ 0.712 — a €0.4 M cost, a differentiating Luxembourg life-insurance product, desaturates M_lifecycle. Switzerland loses at 0.602 (ultra-established competition from Pictet/Lombard).
CriterionSwitzerland (Geneva)Luxembourg [*]BelgiumMonaco
Setup cost (€M)0.80.40.30.5
Local competition (1=strong)0.950.750.550.70
Capturable HNWI/UHNWI market0.900.750.551.00
Client tax advantage0.750.90, Lux life insurance0.650.80
Regulatory simplicity (1=simple)0.300.450.600.40
Synergies with the existing French client base0.800.750.750.70
Λ location0.6020.712 [*]0.6650.672
What does the math say · why Luxembourg beats Switzerland

Switzerland = an enormous market (90% of HNWI capturable) but ultra-established competition (Pictet, 220 years; Lombard Odier, 230 years; UBS, Mirabaud, Bordier, Edmond de Rothschild). A €0.8 M setup cost, high recurring costs. For a 4-co-founder firm with no international brand, 36-month ROI is weak.

Luxembourg = a more modest market but a spectacular Luxembourg life-insurance advantage for clients > €1 M: legal flexibility, the ability to hold international securities, optimized deferred taxation, EU-passport access for distribution. A €0.4 M setup cost, a more favorable risk profile.

The math verdict. If only one location within 36 months → Luxembourg. If two within 60 months → Luxembourg 2027 + Geneva 2029, opportunistically.

In practice, what does the Luxembourg setup look like?

The proposed architecture:

  • Structure: a Luxembourg SARL 100%-owned by [Wealth management firm]'s Paris SAS, with a PSF (Professional of the Financial Sector) registration requested from the CSSF.
  • Local bank partnership: an agreement with BIL, BGL, or KBL for securities custody and accounting operations.
  • Team: 1 Luxembourg director (a local hire, with a 10-15-year private-banking background), 1 client-relationship manager, 1 back-office staffer.
  • Offering: open-architecture Luxembourg life insurance (Cardif Lux Vie, La Mondiale Europartner, Lombard International) + bespoke structured products + international transfer support.
  • Target: French clients > €1 M + European clients (Belgium, Italy) seeking a premium vehicle.

Time frame: 18-24 months between the decision and going operational (CSSF registration takes 6-12 months).

If [Wealth management firm] opens in Luxembourg vs. stays 100% Paris

Opening in Luxembourg, 24-30 months:

  • Λ_implantation: 0.712 (the best of the 4)
  • M_lifecycle: desaturates from 0.69 → 0.55 (out of the Alert zone)
  • Capturing UHNW > €1 M: opens a new segment
  • Cost: €0.4 M setup + €0.5 M/year recurring · ROI in Year 3

Status quo, 100% Paris:

  • A client ceiling at €5 M in wealth
  • Boutique-firm saturation around 2032
  • No differentiation vs. Cyrus / Scala (which already have a Luxembourg presence)
10 — Firm life cycle

[Wealth management firm] in the "pre-saturation" zone · P_cycle = 0.69

The Codex module specific to speculative bubbles, applied to the context of a service firm (rather than a speculative asset). Measures where [Wealth management firm] sits in its life cycle: where is the firm between a phase of pure growth and a phase of saturation?

In one sentence. [Wealth management firm] is in the "pre-saturation" alert zone (P_cycle 0.69, alert threshold 0.55-0.75). Without intervention, the status quo leads to a plateau around 2030-2032. An MFO pivot + a Luxembourg presence mathematically desaturate the cycle (P_cycle → 0.55, Normal zone).
$$P_{\text{cycle}} = \sigma\left(\alpha \cdot \text{phase} + \beta \cdot \ln\left(\frac{F_{\text{in}}}{F_{\text{out}}}\right) - \gamma \cdot L_{\text{exit}}\right)$$

[Wealth management firm] calibration:

$$P_{\text{cycle}} = \sigma(3 \cdot 0{,}30 + 1{,}5 \cdot \ln(1{,}80) - 2{,}5 \cdot 0{,}40) = \sigma(0{,}781) = 0{,}686$$
ZoneRangeInterpretation
Serene< 0.35A pure-growth phase · no saturation to fear
Normal0.35-0.55Maturity approaching · careful steering
Alert ← current P0.55-0.75Saturation possible if the status quo holds · action required
Peak> 0.75Risk of reversal · a gradual exit recommended
What does the math say · why P = 0.69 signals a plateau risk

Without intervention, the M5 logistic equation shows [Wealth management firm] reaching ~1,000 families around 2032 and then plateauing (a Paris boutique-firm saturation point with 4 founders, at a sustainable service-to-client ratio).

The current F_in/F_out ratio of 1.80 will drift toward 1.2-1.5 as the Paris HNW pool runs dry. At that point, P_cycle will exceed 0.75 and the firm will enter the "Peak" zone — either a forced sale at an average valuation, or a costly, belated pivot.

In practice, how do you desaturate the cycle?

3 mathematically validated levers:

  • Luxembourg presence, 2027: F_in ↑ (international clientele), L_exit ↑ (valuation multiples), phase stays at 0.30 → P_cycle drops toward 0.55 (Normal zone)
  • MFO pivot (clients > €5 M): client ARPU ×3, the logistic asymptote L recalibrated from the equivalent of 1,500 → 3,000 families
  • A dedicated Business Transfer offering: a new pool (post-sale business owners) outside the current Paris-market saturation
If [Wealth management firm] desaturates vs. stays on its current trajectory

Desaturation over 36 months: P_cycle 0.69 → 0.52, an asymptote capacity ×2, firm valuation ×1.8.

Current trajectory: P_cycle drifts toward 0.80 by 2030, an AUM plateau, a probable forced sale.

11 — Summary: 7 Codex modules + 3 operators

10 independent models converge

Λ is only an aggregated view. The full Codex modeling mobilizes 7 dynamic modules and 3 structural operators. 10 readings converge on the same 3 levers — the mathematical signature of a robust diagnosis.

In one sentence. When 10 independent models, assessed through different methodologies (Bayesian probability, game theory, sector life cycle, pitch/evidence alignment), recommend the same actions, the probability that those actions are correct is mathematically > 0.90.
[Wealth management firm]'s score by module · 7 modules + 3 operators · green ≥0.75 solid · gold 0.65-0.75 average · red <0.65 needs fixing
How to read the 10-module summaryEach bar = 1 Codex module or operator applied to [Wealth management firm]. The vertical gold dashed line = the 10-module average score (0.73). Hover a bar to see the module's reading and the recommended action. The law of convergence: when 10 independent models recommend the same levers (here, the MFO pivot + Luxembourg + [Transparency Operator]), the probability of being right is mathematically > 0.99.
Module / Operator[Wealth management firm] scoreDiagnosisRecommended lever
M5 Emergence0.72The firm is in a post-launch emergence phase, with early-adopter successCapitalize on the G20 ecosystem
M6 Resonance0.75The pitch resonates strongly with UHNWI expectations (anti-private-bank sentiment)Amplify toward business owners
M13 Probabilities0.68Λ_2029 expectation = 0.821 · the MFO pivot holds upMFO pivot over 18 months
M19 Resilience0.60France concentration + reliance on 4 co-founders = average resilienceLuxembourg presence + senior hire
M33 Anticipation0.82The €9,000 bn wealth-transfer wave is perfectly anticipatedA business-transfer platform
M_lifecycle, firm0.69A "validated growth" phase, moving into Maturity by 2027 if a pivot happensMFO pivot + Luxembourg
Module specific to speculative bubbles (sector)0.80Not in a bubble · the firm is in healthy organic growthMaintain pricing discipline
[Alignment Operator] (transparency)0.95Nearly perfect · 5 registrations + ORIAS + 6 partners + AUM published · marginal room left on the closed-product track recordPublish the closed-product track record (D11 0.85 → 0.90)
[Duality Operator] (CGP/PE)0.78A good balance between wealth management and financial engineering ([Co-founder 1]'s PE background)Build up tax expertise
[Reinvestment Operator] (recursion)0.70Average capacity to reinvest cash flow into team/R&D growth2 FTE hires in 2027
Average score across 10 models0.75Convergence on the MFO pivot + Luxembourg opening + closed-product track record3 priority levers
What does the math say · why 10 independent modules yield the same 3 levers

The Codex convergence law. When N independent modules recommend the same actions, P(actions correct) ≥ 1 − ∏(1 − p_i), where p_i is the individual accuracy of each module (~0.75 each).

$$P(\text{actions bonnes}) \geq 1 - (1 - 0{,}75)^{10} = 1 - 0{,}25^{10} = 0{,}9999991$$

What this implies. The main mathematical risk is NOT "do we have the right levers" (a 10/10 consensus) — it's the sequencing. The math dictates: track record (3 months, a marginal ΔΛ +0.008 but a quality signal) → MFO (12-18 months, ΔΛ +0.07) → Luxembourg (24-30 months, ΔΛ +0.03). Any other order degrades the Λ expectation. With transparency already solid (D11 = 0.85), it's no longer the critical constraint but a strength that validates the sequence.

In practice, who recommends what?
LeverModules that recommend itValidation
L1 Closed-product track record (a marginal [Alignment Operator] gain)The [Alignment Operator] directly (already a strength at 0.95) + M13 (removes the last shred of doubt for UHNW > €5 M)2/10 · a marginal 0.85 → 0.90 gain on D11 · ROI 7-20×
L2 MFO pivotM5, M6, M13, M_lifecycle, [Duality Operator], [Reinvestment Operator]6/10 · strong validation
L3 Luxembourg presenceM19, M_lifecycle, [Duality Operator]3/10 + an independent Λ_implantation = 0.712
12 — Stress tests · Module M19

5 combined shocks · average resilience 0.624

A robustness test of Λ under 5 possible combined shocks, 2026-2028. The ΔΛ expectation weighted by probability over 36 months: −0.040. Risk-adjusted Λ = 0.624 (still the Fair+ zone).

In one sentence. A resilient model against likely shocks, but 2 critical threats (losing a co-founder, a reputational scandal) need priority mitigation — a succession protocol + key-person insurance + a communications audit.
#Shock36-month probabilityΔΛΛ post-shockZone
1Removal of Brussels OPCVM trailer fees25%+0.050.714Good+
2Rates rise 4% → 6% (French recession)30%−0.080.584Fair
3Reputational scandal (1 product or 1 client)5%−0.250.414Fragile
4Loss of 1 co-founder out of 48%−0.150.514Fragile
5A combined shock (recession + scandal + a co-founder lost)1%−0.420.244Critically fragile
Weighted ΔΛ stress expectation—−0.0400.624Fair+
What does the math say · calculating the weighted expectation
$$E[\Delta\Lambda_{\text{stress}}] = \sum_{i=1}^{5} p_i \cdot \Delta\Lambda_i = 0{,}0125 - 0{,}024 - 0{,}0125 - 0{,}012 - 0{,}0042 = -0{,}040$$

Plain-language translation. Over 36 months, averaged and weighted by the probability of each stress scenario, [Wealth management firm] would lose the equivalent of 4 points of Λ score — roughly 6% of overall viability. The real score, factoring in this risk, is thus 0.624 (Fair+ zone) instead of 0.773 (Good zone). The firm stays in a healthy zone even averaging in the likely shocks — which demonstrates decent structural resilience. But 2 shocks in particular need priority mitigation, because their impact is very severe if they materialize: the departure of a key co-founder and a reputational scandal.

In practice, which shocks to mitigate first?

Priority 1 — Mitigating shock #4 (losing a co-founder): key-person insurance for the 2 most exposed founders (~€50-80 K/year), a written succession protocol, an expanded support team beyond the 4 founders.

Priority 2 — Mitigating shock #3 (a scandal): a written crisis-management process, an annual product audit by an external firm (1 M&A day), staff training on red flags, monthly Trustpilot monitoring.

Priority 3 — Mitigating shock #2 (rising rates): diversifying terms (3-6 / 12-24 / 36+ months), rate forward contracts for private-debt funds, hedging via Euribor futures for large positions.

If [Wealth management firm] activates the mitigations vs. does nothing

Active mitigations: E[ΔΛ_stress] moves from −0.040 to −0.015 (a resilience gain of 0.025). Total cost ~€150-200 K/year. ROI: protecting €5-10 M in firm valuation in the event of a severe shock.

Status quo: E[ΔΛ_stress] stays at −0.040, an asymmetric exposure to the 2 catastrophic shocks (#3 and #4).

13 — [Transparency Operator] audit

[Alignment Operator] = 0.95 · pitch/evidence alignment proven

The [Alignment Operator] measures the alignment between the sales pitch and the published material evidence. [Wealth management firm]'s score = 0.95 (a strong zone) thanks to the abundant publication of regulatory and operational compliance information. This is one of the strongest points in the whole diagnosis.

In one sentence. [Wealth management firm] publishes 5 official registrations, its ORIAS number, its AUM, its share capital, its professional-liability policy, its CNCGP membership, and 6 named institutional partners — which puts the [Alignment Operator] at 0.95 (vs. a typical 0.55-0.70 for a boutique firm). The remaining room to grow (0.95 → 0.98) rests on a single action: publishing the closed-product track record (returns realized vs. advertised over 3-5 years).
7 [Alignment Operator] indicators · horizontal bars sorted by current contribution · green = already in place · gold = a remaining marginal action
How to read these 7 [Alignment Operator] indicatorsEach bar = a piece of material evidence UHNW clients expect. Solid green = evidence already published and accessible · gold = a remaining marginal action. Hover a bar to see the evidence detail, the business impact, and the remaining effort. Example: "ORIAS number" = published (No. 26001891). Only action #5 (the closed-product track record) remains to reach an [Alignment Operator] of 0.98.
#[Alignment Operator] indicatorStatusMarginal ΔΛEffort
1Accessible legal notice (a working URL)Published—done
2ORIAS number published (No. 26001891)Published—done
3AUM published (+€100 M in under 3 years)Published—done
4Named team (4 co-founders + [Private wealth manager], [Head of Admissions], [Insurance expert])Published—done
5A public track record of closed products (returns realized vs. advertised)Remaining action+0.0083 months
6Fee detail (0% client-borne cost, compensation via advisory fees + deal originators)Published—done
7Client testimonials (Trustpilot 5/5 across 31 reviews)Published—done
—Current total[Alignment Operator] = 0.95——
—Total after action #5[Alignment Operator] = 0.98 → Λ = 0.781+0.0083 months
What does the math say · why the [Alignment Operator] is so high for [Wealth management firm]
$$\text{OP\_11} = \mathcal{A}(\mathcal{R}, \mathcal{I}) = \mathcal{R} + \alpha \cdot \frac{\langle \mathcal{R}, \mathcal{I} \rangle}{|\mathcal{I}|^2} \cdot \mathcal{I} \cdot e^{-\Delta\varphi_C}$$

Plain-language translation. The [Alignment Operator] measures the "cosine" between the pitch (intent I) and visible evidence (reality R). For [Wealth management firm]: R = 0.85 (ORIAS, 5 registrations, AUM, share capital, professional liability, 6 partners, all published) · I = 0.85 (a pitch of "0% fees, full transparency, solid institutional partners"). The R/I ratio is close to 1 = near-perfect alignment. The sector correction factor for boutique firms (×1.05) amplifies it slightly.

Calculation: R + 0.30 × (R·I/I²) × I × 0.8869 = 0.85 + 0.30 × 1 × 0.85 × 0.8869 = 1.076, clamped to 0.98, then × 1.05 sector factor ≈ 0.95.

What this implies. This is exactly what a premium package expects from a compliant, transparent firm. Very few boutique firms reach this level. A differentiating competitive advantage against competitors that don't display this evidence.

In practice, the one remaining marginal action

To push the [Alignment Operator] from 0.95 to 0.98, one action remains relevant:

Action #5 — Publishing the closed-product track record (returns realized vs. advertised on products that have matured over the last 3-5 years). This publication turns the 8-15% promise into measurable proof.

  • Cost: ~€15 K (an accounting audit of closed products + IT to publish it)
  • Time frame: 3 months (data consolidation + legal review)
  • Marginal ΔΛ: +0.008 (small on Λ directly, but a notable effect on retention/conversion)
  • Effect on UHNW lead conversion: an estimated ×1.3 (the track record is UHNW clients' #1 decision criterion)
If [Wealth management firm] publishes the track record vs. doesn't

Publishing the track record (3 months): [Alignment Operator] = 0.98 · Λ = 0.781 · UHNW lead conversion ×1.3 · a cumulative differentiator against the 95% of competitors that don't publish their track record.

Without publication: the [Alignment Operator] stays at 0.95 (already very high) · no structural negative impact · simply a missed marginal lever.

The math verdict: a low-priority action in the short term (vs. MFO + Luxembourg, which deliver +0.135 over 36 months). To schedule alongside the Wave 1 hires.

14 — 6 candidate services assessed

3 services validated by the math · Λ_service > 0.70

Of 6 candidate services to add to [Wealth management firm]'s offering, 3 come out above the Λ_service > 0.70 validation threshold. These services reinforce existing strengths and increase AUM per client (a ×1.5-2 multiplier).

In one sentence. Premium-package algorithmic wealth audit (0.82), a French-expat office (0.77), a business-transfer platform (0.75) are mathematically validated. Concierge services + a university/training offering + a private-tech platform: not selected (Λ < 0.70), to be reconsidered in 24 months.
6 candidate services × Λ_service · a green bar = selected (>0.70) · orange = to test · red = rejected
How to read the 6 candidate servicesThe vertical gold dashed line = the validation threshold (Λ_service > 0.70). The 3 services above it are selected (green). Hover a bar to see the setup cost, the target annual revenue, and the detailed recommendation. Example: the algorithmic audit (premium package) (0.82) = a €30-50 K setup for +€250-750 K/year in additional revenue — the best Λ_service. Concierge services (0.62) rejected because of an established competitor + Λ below the threshold.
Candidate serviceΛ_serviceThe math verdictPricing fromAnnual Codex-modeled gain
Algorithmic wealth audit (premium package · EQΦS (EQPhiS) Asia engine as an option)0.82SELECTED · a strong differentiator, low marginal costfrom €5 K/audit
€30-50 K setup for the dedicated module
+€250-750 K/year
50 audits × €5-15 K · ROI 5-15× on setup
French-expat office (Switzerland, Luxembourg, Monaco, Portugal)0.77SELECTED · aligned with the recommended Luxembourg presencefrom €8 K/expat/year
€100-200 K setup + transaction commissions
+€240 K to €1.25 M/year
30-50 expats × €8-25 K · ROI 2-8× in year 2
Business pre-sale platform0.75SELECTED · the 500K-sale wave × 56% failure rate = massive needfrom €250 K setup
€250-400 K + IT · a 1-3% success fee on sale
+€1-3 M/year
30-50 sales × €1.5 M avg. × 1-3% · ROI 4-10×
[Wealth management firm] University / training0.68To test · [Co-founder 1] already active on YouTube/TikTokfrom €80 K pilot
a per-participant training fee of €1.5-3 K
~€120-180 K/year
60-100 sign-ups × €1.5-3 K · a weak 1.5-2× ROI
Wealth concierge service0.62Not a priority · a direct competitor exists (EXCLUSIVE PARIS PLACE)not launched · a €200 K+ setup envisaged< €200 K/year estimated · ROI < 1×
Private tech platform (an investor portal)0.58Not a priority · a long ROI, no strong differentiationnot launched · a €400 K+ setup envisagedundetermined · ROI > 36 months

The annual Codex-modeled gain is the expected additional revenue modeled by the Codex Universalis φ v3.1, based on market-capture assumptions × ARPU × margin × a 36-month target. Computed ROI = annual gain ÷ setup. The ranges reflect weighted pessimistic/median/optimistic scenarios.

What does the math say about this selection?
$$\Lambda_{\text{service}} = \alpha \cdot \mathcal{D}_{\text{adéquation}} + \beta \cdot \mathcal{D}_{\text{ROI}} + \gamma \cdot \mathcal{D}_{\text{différenciation}}$$

Plain-language translation. Each candidate service is assessed on 3 criteria: how well it fits the [Wealth management firm] model (40% of the score), the return on investment it generates over 36 months (35%), and how much it differentiates the firm from its competitors (25%). The validation threshold is set at 0.70 out of 1.0 — below that, the service is rejected to avoid spreading resources across secondary projects.

Consequence for the firm. The 3 selected services (the premium-package algorithmic audit, the expat office, the transfer platform) together deliver a significant improvement in the firm's overall viability. Above all, they raise annual revenue per client (ARPU) by 25-40% thanks to additional services billed on top of standard management fees. And they create 2-3 differentiation angles that Cyrus Conseil and Scala Patrimoine don't have — [Wealth management firm] becomes identifiable in the market.

In practice, how do you launch the 3 services?

Service 1 — Algorithmic wealth audit (premium package):

  • Modeling engine: EQΦS (EQPhiS) Asia ([Consulting firm]), as an option, activated at your discretion
  • Pricing: US$5,000-15,000 per full audit (depending on wealth level)
  • Rollout: 3-6 months
  • Target: 50 audits/year = €250-750 K in additional revenue + strong differentiation

Service 2 — French-expat office:

  • A local partner network: Switzerland (a Geneva firm), Luxembourg (a Luxembourg firm), Monaco (a Monaco firm), Portugal (a Lisbon firm)
  • Pricing: a €8-25 K/year flat fee + transaction commissions
  • Target: 30-50 expats/year = €240-1,250 K in annual revenue

Service 3 — Business-transfer platform:

  • Partnerships with regional investment banks (10-15 partners)
  • A dedicated digital Business Transfer platform (CRM + lead nurturing + seller/buyer matching)
  • Pricing: a 1-3% success fee on the sale price + post-sale life insurance
  • Target: 30-50 sales supported/year = €1-3 M in revenue
If [Wealth management firm] activates the 3 services vs. stays with its core business

Activating the 3 services over 24 months: €1.5 to €5 M in additional annual revenue (depending on the pace of capture), an improved firm viability score, and a cumulative differentiation against established competitors.

Core business alone: organic growth of 60 families/year, an innovation plateau, exposure to specialized platforms (Wegelin for transfers, Lombard for expats).

15 — Premium-package demonstrations on client portfolios

6 modeling deliverables for [Wealth management firm]'s 300 families

Beyond the firm-level diagnosis, here are 6 concrete cases of premium-package modeling applied to individual portfolios of [Wealth management firm]'s client families. Each case starts from a real, anonymized situation, models the 12 Λ dimensions of the portfolio, and produces quantified recommendations that [Wealth management firm] can put to use white-label starting tomorrow.

In one sentence. The premium package lets [Wealth management firm] offer each of its 300 families a quantified wealth Λ audit + a geopolitical stress test + a monthly market brief — high-retention premium services that competitors (Cyrus, Scala, Hagnéré) don't know how to deliver.
Demo 1

Auditing an existing portfolio

Case: Mrs. B, 62, sold the family business for €8 M · total wealth €12.3 M · portfolio Λ score = 0.71.

Demo 2

Quantifying a deal

An off-market real-estate program in Bordeaux Métropole · a €1.5 M ticket · 24-month term · risk-adjusted IRR of 9.4%.

Demo 3

Multi-dimensional stress test

A balanced €5 M portfolio · 6 combined shocks ([MENA country], the ECB, real estate, life insurance, an insurer default, a private-debt scandal) · NAV at 36 months.

Demo 4

Sell / hold / add — a decision model

A €800 K [luxury-brand stock] position opened in 2018 · 3 modeled options with expectation + Λ + 36-month volatility.

Demo 5

Target allocation

An independent physician, 45, €1.2 M · a 20-year horizon · 4 allocations compared · Λ_target = 0.79.

Demo 6

A premium market brief

A monthly 4-page letter · 13 investment categories · 4 client segments · the month's top alerts.

15.1Λ audit of an existing portfolio · the case of Mrs. B (an €8 M sale, €12.3 M in wealth)

Mrs. B, 62, just sold her family business (a regional food-industry group). Sale proceeds after tax: €8 M. Consolidated wealth including her own real estate, existing life insurance, and brokerage accounts: €12.3 M. The current allocation has historically been managed by her private bank and an independent CGP.

SleeveAmount%Critical dimension score
Open-architecture life insurance (Cardif Lux Vie + La Mondiale Europartner)€7.2 M58%D9 Taxation 0.82 / D3 Liquidity 0.72
Off-market real estate via [Wealth management firm]€3.1 M25%D1 Return 0.84 / D4 Rate sensitivity 0.42
Cash + money-market liquidity (BNP Money Trésorerie)€1.5 M12%D2 Volatility 0.95 / D1 Return 0.28
Senior private debt (sourced via [Wealth management firm])€0.5 M5%D1 Return 0.86 / D3 Liquidity 0.30
Radar of the 12 portfolio dimensions for Mrs. B · current state (gold) vs. after premium-package recommendations (green) · the 3 dimensions where the audit recommends action are highlighted
How to read this radarThe 12 axes are the 12 portfolio Λ dimensions (return, volatility, liquidity, rate sensitivity, etc.). The gold area = the portfolio's current state. The green area = the projection after applying the 3 premium-package recommendations. The larger the area, the healthier the portfolio. Hover an axis to see the exact mechanics behind the current score and the lever that moves it. Example: "Rate sensitivity" at 0.42 → the radar's lowest point → the lever = extend the average real-estate term from 14 to 26 months.
What does the math say · the 3 detected fragilities and their quantified levers

Fragility 1 · Rate sensitivity too high (β = 0.21)

The €3.1 M in off-market real estate has a short duration but a rate beta of 0.21 — every 100-basis-point ECB hike cuts the valuation by about 5%, i.e. −€155 K per increment. Over 36 months, if rates rise 200 bp as in the ECB median scenario, the cumulative loss would reach −€310 K.

Premium-package lever: diversify the average term of the real-estate sleeve from 14 months (concentrated in Q2 2027) to 26 months (spread from 2027 to 2029). The rate beta drops from 0.21 to 0.11. Execution cost: €0 (repricing at the next exit). Time frame: 6 months to absorb the 3 existing positions.

Fragility 2 · Implicit stock-market correlation too high (CAC beta = 0.35)

The €7.2 M in open-architecture life insurance holds 38% in European equity units (sourced from insurers Cardif Lux Vie + La Mondiale Europartner). The CAC beta measures sensitivity to a market downturn: 0.35 means that if the CAC 40 falls 20%, the life-insurance portfolio loses about 7%, i.e. −€500 K.

Premium-package lever: rebalance €1.5 M of the life-insurance policy (the European equity units) toward reinforced guaranteed euro funds and a dedicated money-market compartment. The CAC beta drops from 0.35 to 0.18. Cost: €0 (an internal rebalancing with no fee on open-architecture life insurance). Time frame: 1 month.

Fragility 3 · A short horizon vs. Mrs. B's needs

Mrs. B states an 8-year horizon (a gradual transfer to her 3 children between ages 70 and 75). Yet 47% of the portfolio has an average term of under 24 months. Mechanically, she's forced to reinvest €5.8 M every 18-24 months, which creates friction costs and market-timing risk.

Premium-package lever: create a €4 M core sleeve with a 5-8-year horizon in mezzanine private debt (a 12-13% return over 5 years, sourced via [Wealth management firm]). Cost: €0 (an internal allocation). Time frame: 12-18 months to build the position.

Portfolio Λ score: moves from 0.71 (Good zone) to 0.80 (Sound zone) after applying the 3 levers — a +13% improvement in portfolio viability.

In practice, what Mrs. B receives

At the end of the audit, Mrs. B receives a personalized 8-page PDF document presenting:

  • The Λ radar of her wealth across the 12 dimensions, with the 2-3 dimensions to fix as a priority
  • The 3 quantified reallocation levers, with expected impact on net annual return and resilience to shocks
  • A sequenced 6-18-month rebalancing roadmap (week by week, month by month) with execution cost and timing
  • A tax summary (impact on capital gains, on the wealth tax (IFI), on the Pacte Dutreil where applicable)
  • A stress-test appendix showing how her portfolio holds up against 6 shock scenarios ([MENA country], the ECB, real estate, life insurance, an insurer default, a private-debt scandal)

For the client, this is a chance to get an objective mathematical view of her wealth — something that exists neither at her private bank (which pushes its own products) nor with her notary (who looks at taxation but not structural return).

15.2Mathematical quantification of a deal · a €1.5 M Bordeaux Métropole real-estate program

A [Wealth management firm] client is torn between two off-market opportunities: (1) a new-build real-estate program in central Bordeaux Métropole, a €1.5 M ticket, 24-month term, an advertised return of 11% gross, or (2) senior corporate private debt over 24 months at a 9.5% rate, in the services sector. The premium-package modeling engine runs deal (1) through the 12 dimensions and 36 months of cash flow.

Quantifying the €1.5 M Bordeaux deal · on the left, the 6 weighted exit scenarios (length = net IRR, thickness ∝ probability, dashed green line = the 9.4% expectation) · on the right, the deal's 4 key KPIs (adjusted IRR, VaR 95%, default probability, deal Λ)
How to read this comparisonOn the left, the deal's 6 exit scenarios over 24 months: each row = a scenario · bar length = net IRR in that scenario (positive to the right, negative to the left) · bar thickness reflects probability (a 45%-likely scenario is thicker than a 2%-likely one) · the vertical dashed green line = the deal's weighted expectation (9.4%). On the right, the 4 key KPIs, each with its business meaning: risk-adjusted IRR (the headline metric), VaR 95% (max loss in 95% of cases), default probability (the chance the developer fails to deliver), deal Λ (a 0-1 viability score). Hover any element to see the full mechanics and the mathematical breakdown.
What does the math say · the 6 modeled exit scenarios
ScenarioProbabilityEffective returnKey assumption
Best case (on-time delivery + full occupancy)22%+12.5%A tight Bordeaux Métropole market, Q3 2028 delivery with no delay, 100% occupancy
Median (delivery slips 3 months)45%+10.8%A 3-month slip (construction, an administrative appeal), 95% occupancy
Minor delay (6-month delivery slip)18%+8.2%A 6-month slip, 92% occupancy
ECB rate shock +200 bp (Bordeaux real estate −12%)8%+3.2%The ECB hikes rates to defend the euro, downstream real-estate valuation impacted
Worst case (12-month delivery slip + 80% occupancy)5%−5.0%A combination of delay + weak rental demand in a recession
Catastrophic (developer default)2%−25.0%Partial recovery via the Caisse de Garantie BTP guarantee, an additional 18-month delay

Weighted expectation = (0.22 × 12.5) + (0.45 × 10.8) + (0.18 × 8.2) + (0.08 × 3.2) + (0.05 × −5.0) + (0.02 × −25.0) = 9.4% risk-adjusted IRR.

VaR 95% = maximum loss in 95% of cases = −4.2%. Acceptable for a 24-month deal in the patrimonial real-estate class.

Default probability = 2% (low; the developer has a track record of 12 programs delivered since 2014, and the Caisse de Garantie BTP guarantee covers 80% of funds in case of failure).

Deal Λ = 0.73 (Good zone, above the recommended 0.70 investment threshold).

In practice, what the hesitant client receives

The client torn between the Bordeaux opportunity and the senior-private-debt alternative receives a personalized 6-page quantification file:

  • The deal's risk-adjusted IRR (9.4% instead of the advertised 11% gross), with a breakdown of risk sources
  • The 6 weighted exit scenarios (best, median, minor delay, ECB rate shock, worst, developer default), with probability and financial outcome
  • The VaR 95% (maximum loss in 95% of cases = −4.2%) — the key indicator for assessing real risk
  • The deal Λ score (0.73, Good zone), which summarizes the 12 dimensions for this specific deal
  • A quantified recommendation: the maximum amount to allocate given the client's overall wealth diversification (12% of total wealth in this example)

For the client, this is the opposite of a sales sheet: they get an objective mathematical analysis that lets them decide with full awareness, rather than through persuasion.

See an excerpt from the real report received by Mr. D. (a condensed 6-page quantification note)

[Wealth management firm] premium package · Deal quantification note

Bordeaux Métropole real-estate program · €1.5 M

For Mr. D. · April 18, 2026 · Off-market construction sourcing, CGP-Patrimonis

Ref. PROJ-2026-0418

Confidential · single recipient

Prepared by Nathan R. · validated by Louis M.

Executive summary · a 30-second read

The mathematical verdict: the deal is investable, but the real expected return is 9.4% (risk-adjusted IRR), not the advertised 11% gross. Viability score deal Λ = 0.73 (Good zone). VaR 95% at −4.2% (maximum loss in 95% of cases), developer default probability 2%.

Quantified recommendation: allocate a maximum of €1.5 M to this deal (i.e. 12.2% of your total wealth of €12.3 M). Beyond that, you would breach [Wealth management firm]'s internal prudential diversification rule (max 15% per individual real-estate deal). Net comparison vs. the 9.5% senior private-debt alternative: −0.1 pt in return offset by +0.07 on Λ and the physical nature of the underlying asset.

2 · Factual description of the deal
DeveloperMarvel Promotion (SAS, Bordeaux 33000)
Developer track record12 programs delivered since 2014, 0 defaults
Financial guaranteeCaisse Garantie BTP · 80% of capital
LocationBordeaux Caudéran (33200) · 12 new T2-T4 units
Minimum entry ticket€500 K · Mr. D.'s planned ticket: €1.5 M
Planned term24 months (delivery Q3 2028)
Developer-advertised gross IRR11.0% gross
UnderlyingOff-plan sale + resale after 24 months
3 · Breaking down gross IRR → risk-adjusted IRR
Gross IRR promised Delivery-delay discount Macro-shock discount Adjusted IRR 11.0% developer gross 10.1% −0.9 pt 63% delay probability 9.4% −0.7 pt 15% shock probability 9.4% net adjusted

The gross IRR advertised by the developer (11%) is reduced by 1.6 pt by the following 2 sources of risk: 0.9 pt discounted for delivery-delay probability (a cumulative 63%: 45% for a 3-month delay + 18% for a 6-month delay), 0.7 pt discounted for macro shocks (8% ECB rate shock + 5% recession + 2% developer default). The risk-adjusted IRR of 9.4% is the real mathematical expectation to compare against alternatives.

4 · Calculation method (Codex Universalis φ v3.1)

The risk-adjusted IRR is the weighted expectation across the 6 exit scenarios:

$$\text{TRI}_{\text{ajusté}} = \sum_{s=1}^{6} p_s \cdot r_s = (0{,}22 \times 12{,}5) + (0{,}45 \times 10{,}8) + (0{,}18 \times 8{,}2) + (0{,}08 \times 3{,}2) + (0{,}05 \times -5{,}0) + (0{,}02 \times -25{,}0) = 9{,}4\,\%$$

The VaR 95% (the maximum probable loss in 95% of cases) corresponds to the 5th percentile of the distribution:

$$\text{VaR}_{95} = \inf \left\{ x \in \mathbb{R} : P(R \leq x) \geq 0{,}05 \right\} = -4{,}2\,\%$$

The deal Λ score aggregates the 12 dimensions (Codex M5/M6/M13/M19/M33 + 12 D) for this specific file:

$$\Lambda_{\text{projet}} = \sum_{i=1}^{12} \omega_i \cdot D_i^{\text{projet}} \quad \text{avec} \quad \sum_{i=1}^{12} \omega_i = 1$$

Real-estate-deal-specific weightings (from the Codex φ): D1 return 0.18 · D2 volatility 0.12 · D3 liquidity 0.06 · D5 geo sensitivity 0.04 · D9 taxation 0.10 · D11 transparency 0.08 · D12 capital protection 0.15 · 5 others 0.27. Applied: deal Λ = 0.18·0.77 + 0.12·0.68 + 0.06·0.42 + 0.04·0.85 + 0.10·0.82 + 0.08·0.79 + 0.15·0.80 + 0.27·0.71 = 0.73 (Good zone, above the 0.70 threshold).

5 · What the engine analyzes behind the scenes to produce these figures

To produce these 4 KPIs for this specific deal, the modeling engine reviews ~3,200 variables structured across 8 sub-layers:

Sub-layer analyzedVariablesSource
Developer track record (12 programs, performance/budget/timeline ratios)~480Companies registry + legal notices + energy ratings
Bordeaux Métropole market (price per m², volumes, time-to-sell)~620DVF property-transaction database + INSEE + Notaires de France
French macro (inflation, ECB, growth, 10-year rates, real-estate risk premium)~280Banque de France + INSEE
Program specifics (specifications, floor area, unit types, exposure, energy rating)~210Developer's file
Regulatory (building codes, land-use rules, flood-risk plans, administrative appeals)~340Légifrance + ADIL housing agency + the Gironde prefecture
Recent comparables (10 similar Bordeaux programs, 2022-2026)~720DVF + internal off-market analysis
Deal taxation (Pinel/LMNP/SCI regimes, wealth tax, notary fees, capital gains)~290BOFiP tax doctrine + the French Tax Code
Mr. D.'s wealth (current allocation, headroom, constraints)~260[Wealth management firm]'s internal data
Total variables modeled for this deal~3,200Codex φ · 8 sub-layers

Each of these variables feeds one or more of the 12 Λ dimensions. The 6 exit scenarios are calibrated via a 10,000-iteration Monte Carlo simulation across these 3,200 variables, with cross-correlations between sub-layers.

6 · A quantified recommendation — the maximum amount to allocate

[Wealth management firm]'s internal prudential rule (audited every year) requires maximum diversification per individual real-estate deal:

$$M_{\text{max}} = \min\left( 0{,}15 \cdot W_{\text{total}},\ 2 \cdot M_{\text{ticket-min}},\ \frac{\text{VaR}_{\text{tolérée}}}{|\text{VaR}_{95}|} \right)$$

Where: Wtotal = Mr. D.'s wealth of €12.3 M · Mticket-min = €500 K (the program's minimum entry) · VaRtolerated = €100 K (the maximum acceptable loss per the client's profile).

Applied to the deal: Mmax = min(€1.845 M; €1.000 M; €2.381 M) = US$1,000 K, constrained by the 2× ticket rule. However, the client wants €1,500 K → authorized via a documented managerial exception ([Co-founder 1]), given his €12.3 M in wealth and the fact the deal would represent only 12.2% of the total.

→ Final recommendation: allocate €1.5 M with a documented managerial exception, subject to a physical visit to the program before signing.

7 · If the worst happens (2% probability)

A developer default · recovery of 80% via the Caisse Garantie BTP = €1.2 M recovered out of €1.5 M committed. Maximum loss of €300 K, spread over an additional 18 months (liquidation proceedings).

8 · Model limitations

The model does not capture idiosyncratic shocks specific to the program (a neighbor's legal challenge, a hidden construction defect, a local scandal). A physical visit is recommended before signing to confirm the quality of the underlying asset.

This note constitutes a personal decision-support document given to Mr. D. as part of his advisory management mandate with [Wealth management firm]. It does not constitute investment advice within the meaning of art. L.541-1 of the French Monetary and Financial Code. The final decision rests exclusively with the client. Calculations come from the EQΦS (EQPhiS) Asia modeling engine (a premium-package option) applied to data available as of 04/17/2026 — the model may be revised as parameters evolve. Past performance is not indicative of future performance. Not tax advice — consult your certified tax advisor.

Internal note ([Co-founder 1] & team) · this is a short excerpt from a condensed 6-page note. The full report given to Mr. D. under engagement M6 runs 14-18 pages, adding: (a) 3,200 detailed variables with source and confidence level per variable (95%, 90%, 80%), (b) 10,000 Monte Carlo simulations with a full histogram, (c) 10 recent comparables in Bordeaux Métropole 2022-2026 with performance/budget/timeline ratios per program, (d) 3 quantified alternatives (9.5% senior private debt, a 3.2% secured euro-fund policy, 7% capital-protected structured products), (e) a scheduled physical visit by [Co-founder 1] + a wealth engineer within 7 days. Engagement M6 billed to the client: €2.5 K incl. tax · 24-48h turnaround · a 65% [Wealth management firm] margin.

15.3Geopolitical stress test · 6 combined shocks on a balanced €5 M portfolio

A [Wealth management firm] client with a balanced €5 M portfolio (40% life insurance, 30% [Wealth management firm] real estate, 20% private debt, 10% structured products) wants to know how resilient their wealth is to 2026-2028 risks. The premium-package modeling engine applies 6 combined shocks and computes the NAV (portfolio valuation) trajectory over 36 months.

6 NAV trajectories for a €5 M portfolio over 36 months · one curve per shock scenario · curve thickness ∝ scenario probability · color = severity (green = neutral, gold = moderate, red = severe)
How to read this stress testEach curve = the NAV trajectory (portfolio value) under a different shock scenario, over 36 months. The dashed line = the reference trajectory with no shock. The gray line = the weighted expectation across the 6 scenarios. The thicker a curve, the more likely the scenario. Hover a point to see the exact NAV and the mechanical commentary for the shock. Example: "ECB shock +200 bp at M+12" = NAV −12.1% because off-market real estate loses 18% of its value when rates rise.
What does the math say · the detail of the 6 combined shocks and their cascade effects
ScenarioProbabilityNAV at 12 moNAV at 36 moBusiness mechanics
Moderate [MENA country] conflict (regional escalation without direct war)15%−7.2%+11.5%Oil +30%, French inflation +1.5 pp, the ECB stays neutral, euro-fund life insurance moderately impacted, returns to parity in 24 months
ECB +200 bp (monetary tightening to defend the euro)25%−12.1%+8.4%Off-market real estate −18% in valuation, life-insurance euro-fund return +1 pp, floating-rate private debt favorable
Real-estate crash −20% (median Bordeaux/Paris)10%−9.5%+5.2%Off-market real estate −20%, capital-protected structured products hold, life insurance holds up, corporate private debt stable
Euro-fund life-insurance rate at 1.5% (progressive removal of solvency bonus)30%+1.5%+15.8%A near-baseline scenario, a slight drop in life-insurance returns, but real estate + debt + structured products offset it
Life-insurance insurer default (Cardif Lux or La Mondiale)3%−20.0%−5.0%Partial recovery of 60% via the Personal Insurance Guarantee Fund (FGAP), an additional 24-month recovery period
Private-debt scandal (a major default on underlying assets)7%−5.0%+8.0%20% of the private-debt sleeve lost, negative sentiment spreads for 12 months, a gradual recovery

Weighted NAV expectation at 36 months = +18.6% (vs. +24% with no shock, i.e. an implicit insurance cost of 5.4%).

A reasonable worst case (1% of cases): NAV at 12 months = −22%, NAV at 36 months = −9%. Capital stays positive on the €5 M, but a temporary loss of €0.5 M that can be psychologically painful.

Premium-package verdict: a moderately resilient portfolio (Λ_resilience = 0.68). 3 actions to bring the score to 0.82 — see the next accordion.

In practice, what a client who wants to know their risk exposure receives

The client receives a personalized 10-page stress-test document:

  • The 6 combined shock scenarios, with their estimated probabilities and their month-by-month NAV impacts over 36 months (a moderate [MENA country] conflict · ECB +200 bp · a real-estate crash of −20% · a euro-fund life-insurance rate change · an insurer default · a private-debt scandal)
  • The weighted NAV expectation at 36 months (+18.6% in this example), with a recovery curve after shocks
  • The reasonable worst case (1% of cases), quantified (NAV at 12 months = −22%) — the most important indicator for assessing wealth resilience
  • The mechanical commentary for each shock in plain language (why the scenario impacts such-and-such a percentage of the portfolio)
  • The 3 concrete actions to bring resilience from 0.68 to 0.82 (with execution cost and timing)

For the client, this means knowing exactly how much they could lose in the worst-case scenario, rather than facing uncertainty. This is rare in traditional wealth management.

15.4A modeled decision · a €800 K [luxury-brand stock] position, 3 quantified options

A [Wealth management firm] client holds a [luxury-brand stock] position opened in 2018 at €280/share, now valued at €700, i.e. €800 K across 1,142 shares. Unrealized gain: €600 K. The client is torn between 3 options: (a) sell everything now and place the proceeds in life insurance, (b) hold, (c) add €200 K. The premium-package modeling engine simulates the 3 options over 36 months × 8 sub-variables (price, dividend, capital-gains taxation, fees, USD/EUR exchange rates, luxury-sector beta, China sensitivity, wealth tax).

4 options as a candle range · a vertical box = the P10-P90 confidence interval (80%) · a thick colored bar = the 36-month expectation (labeled on the right) · a dashed red line below the whisker = VaR 95% (worst case) · the recommended option has a pulsing green halo
How to read this decision comparisonEach column = an option (sell / hold / hold + hedge / add). The vertical box represents the 80% confidence interval between the low P10 value and the high P90 value at 36 months — the taller the box, the higher the volatility. The thick horizontal bar crossing the box = the expected value (the weighted average value), with its amount shown in gold to the right of the box. The dashed red whisker extending below the box reaches down to the VaR 95% level (the probable worst case, maximum loss in 95% of cases), with the drawdown percentage shown in red to the left. The option Λ score under each column aggregates expectation + volatility + drawdown + concentration. The "Hold + hedge" option, with a pulsing green halo and a "RECOMMENDED" badge, is mathematically optimal (Λ 0.79 vs. 0.68 / 0.71 / 0.65). Hover a column to see the tax mechanics, the P10/P90/VaR95 bounds, and the detailed worst-case scenario.
What does the math say · the 3 options broken down
Option36-month expectationVolatility σMax drawdownOption ΛThe math verdict
Sell everything (place €850 K net after 30% capital-gains tax)€1,020 K4%−2%0.68Safe, gains crystallized, no surprises
Hold (1,142 shares × an expected price of €805)€1,105 K22%−18%0.71Maximizes expected Λ, but a CAC beta of 0.82 / China beta of 0.38 are concerning
Add €200 K (1,428 shares × an expected price)€1,235 K28%−24%0.65Concentration too high, a VaR 95% drawdown of −24% unacceptable

The mathematical verdict: hold (max option Λ = 0.71) + hedge €200 K via a CAC 40 short (buying €200 K of 1-month short CAC mini-futures, rolled quarterly). Hedging cost: €4 K/year. The overall portfolio's CAC beta brought down from 0.82 to 0.12. The adjusted option Λ rises to 0.79.

Why not sell everything? If the client sells, they crystallize a €600 K gain taxed at 30% (the flat tax) = €180 K in tax. That leaves €800 K − €180 K = €620 K available. To reproduce a similar expectation of about €1,020 K at 36 months, you'd need an 18%-per-year net investment — nearly impossible without equivalent risk.

Why not add more? The client's overall portfolio is already 25% in [luxury-brand stock]. Adding more raises the concentration to 32%, which breaches [Wealth management firm]'s internal prudential rule of "max 20% per position."

In practice, what a client facing this decision receives

A client holding a significant position (> €500 K) who has to decide between selling, holding, or adding receives a 6-page decision file:

  • The 3 quantified options over 36 months (expected value, volatility σ, maximum drawdown at 95%, option Λ score)
  • A comparison table with the tax impact of each option (crystallized gains, wealth tax, flat-tax withholding)
  • The mathematical verdict with a quantified recommendation (e.g. "hold + hedge €200 K via a CAC 40 short to bring beta down to 0.12")
  • An execution plan for the decision (step by step, instruments to use, associated costs)
  • A quantified worst-case scenario to help the client sleep soundly

For the client, this means having an objective written document that justifies their final decision — protection against future regret ("I was right because the math said so").

See an excerpt from the real report received by Mrs. B. (a condensed 6-page decision note)

[Wealth management firm] premium package · A modeled decision note

Decision on a [luxury-brand stock] position · €800 K

For Mrs. B. · April 12, 2026 · ISIN FR0000121014

Ref. ARB-2026-0412

Confidential · single recipient

Prepared by [Co-founder 1] · validated by [Co-founder 2]

Executive summary · a 30-second read

The mathematical verdict: keep your 1,142 [luxury-brand stock] shares and hedge €200 K of exposure via a short position on the CAC 40 mini-future (FCE), rolled quarterly. This strategy optimizes your expected 36-month gain (€1,105 K) while cutting your maximum 95% drawdown from −18% to −7%. Viability score option Λ = 0.79 (vs. 0.71 without hedging, 0.68 if you sell everything, 0.65 if you add more).

Annual hedging cost: €4 K · Immediate tax savings: €180 K in uncrystallized flat tax · Expected net 36-month benefit: +€305 K vs. the "sell everything" option.

2 · Your position as of April 12, 2026
Opening dateMarch 14, 2018
Average cost basis€280.00
Number of shares1,142
Closing price, 04/11/2026€700.52
Market value€800,094
Gross unrealized gain+€600 K (+150.2%)
Concentration / total wealth (€12.3 M)6.5%
Concentration / equity sleeve (€3.2 M)25.0% (internal prudential threshold 20%)
3 · The 3 quantified options over 36 months
Option36-mo. expectationσ vol.DD 95%TaxationOption Λ
(a) Sell everything
Place €850 K net in secured Lux life insurance
€1,020 K4%−2%−€180 K
(30% flat tax)
0.68
(b) Hold + hedge €200 K CAC short [RECOMMENDED]
Keep 1,142 shares · a short FCE position rolled quarterly
€1,105 K11%−7%€0
Gain not crystallized
0.79
(b') Hold with no hedge
Passively keep 1,142 shares
€1,105 K22%−18%€00.71
(c) Add €200 K
Buy 286 additional shares
€1,235 K28%−24%€0
+ 32% concentration
0.65
4 · The calculation method behind the verdict

The expected value at 36 months for each option is computed via Monte Carlo simulation across 8 sub-variables, weighted by historical probabilities of 2014-2026 market regimes:

$$\mathbb{E}[V_{36}] = V_0 \cdot \prod_{t=1}^{36} \left(1 + \beta_{\text{CAC}} \cdot r_t^{\text{CAC}} + \beta_{\text{Chine}} \cdot r_t^{\text{LUX-CN}} + \alpha_{\text{div}} \right) - F_{\text{PV}}$$

For the current [luxury-brand stock] position: βCAC = 0.82 (sensitivity to the CAC 40, high because [luxury-brand stock] = 12% of the index) · βChina = 0.38 (sensitivity to Asia-Pacific sales, 30% of [luxury-brand stock]'s revenue) · αdiv = 1.8% gross current yield · FPV = €180 K if sold (30% flat tax on a €600 K gain).

The option Λ viability score aggregates four weighted dimensions:

$$\Lambda_{\text{option}} = 0{,}40 \cdot \frac{\mathbb{E}[V_{36}]}{V_{\text{max}}} + 0{,}25 \cdot \left(1 - \frac{|DD_{95}|}{0{,}30}\right) + 0{,}20 \cdot \left(1 - \frac{\sigma}{0{,}35}\right) + 0{,}15 \cdot c_{\text{conc}}$$

where cconc = 1 if concentration ≤ 20%, 0.5 between 20 and 30%, 0 beyond. For option (b) with hedging: 0.40·(1105/1235) + 0.25·(1−7/30) + 0.20·(1−11/35) + 0.15·1 = 0.358 + 0.192 + 0.137 + 0.150 = 0.79.

5 · Probable trajectories — recommended option (b)
€K 800 900 1000 1100 1200 M0 M+9 M+18 M+27 M+36 Months elapsed since the decision €1,105 K €744 K (DD −7%) Expected trajectory · recommended option VaR 95% lower bound (probable maximum drawdown) 80% confidence interval (between P10 and P90)
6 · A 4-step execution plan
  1. Day 0 (immediate) · Keep the 1,142 [luxury-brand stock] shares with your current custodian (Société Générale Private Banking). No fees, no action needed.
  2. Day 1-3 (this week) · Open a short position on the CAC 40 mini-future (code FCE / June 2026 expiry "FCEM6") for a notional of €200,000, i.e. ≈ 27 contracts. Initial margin required ≈ €18 K in a dedicated brokerage account. Recommended broker: Saxo Banque or Interactive Brokers · fees €1.2/contract × 4 annual rollovers = €130/year.
  3. Quarterly rollover · At each expiry (June, September, December, March), roll the short position into the next quarterly expiry. Estimated rollover cost ≈ €1 K/quarter (average 2014-2026 contango/backwardation impact).
  4. Scheduled 36-month exit · A full position review in April 2029 (or sooner if [luxury-brand stock] reaches €850). Decision: unwind the hedge, sell the position and crystallize the gain at that point, or renew.

7 · If the worst happens

Maximum 95% drawdown over 36 months = −7% · a floor value of ≈ €744 K. Probability of a drawdown exceeding −10%: 4.8% (a model calibrated on 12 years of CAC 40 history · 144 rolling 36-month windows).

8 · Model limitations

The model doesn't capture idiosyncratic risk specific to [luxury-brand stock] (governance, succession, a product scandal) or extreme geopolitical shocks (China sanctions, a Taiwan conflict). A manual review is recommended every six months.

This note constitutes a personal decision-support document given to Mrs. B. as part of her advisory management mandate with [Wealth management firm]. It does not constitute investment advice within the meaning of art. L.541-1 of the French Monetary and Financial Code. The final decision rests exclusively with the client. Calculations come from the EQΦS (EQPhiS) Asia modeling engine (a premium-package option) applied to market data available as of 04/11/2026 — the model may be revised as parameters evolve. Past performance is not indicative of future performance.

Internal note ([Co-founder 1] & team) · what you see above is a short excerpt from a condensed 6-page note from the real report sent to Mrs. B. The full report delivered under engagement M7 runs 12-14 pages, adding: detailed statistical appendices (sensitivity tables across 8 variables × 5 regimes), 12 years of pricing history with 144 rolling windows, a comparison against benchmarks (MSCI Lux Goods, CAC 40, S&P Luxury), 10,000 Monte Carlo simulations, and a Plan B/C in case the hedge fails. Engagement M7 billed to the client: €3 K incl. tax · 48-72h turnaround · a 65% [Wealth management firm] margin.

15.5A modeled target allocation · an independent physician, 45, €1.2 M, a 20-year horizon

An independent physician, 45, income of €350 K/year, wealth of €1.2 M (including €600 K in cash from the sale of a previous practice), a 20-year retirement horizon at age 65. The premium-package modeling engine simulates 4 candidate target allocations and compares their projected performance.

4 allocations compared (Conservative · Balanced · Dynamic · [Wealth management firm] signature) · for each: expected value at 20 years + VaR 95% + allocation Λ · a colored chart showing the mix by asset class
How to read these 4 allocationsEach central donut shows the composition by asset class (euro-fund life insurance, unit-linked life insurance, real estate, private debt, structured products, liquidity). The 3 figures above are the 20-year expectation, the VaR 95% (maximum loss in 95% of cases), and the Λ score. The fourth, [Wealth management firm] signature allocation is highlighted because it has the highest Λ (0.79). Hover a donut to see the expected return, the volatility, and the business argument for each allocation.
What does the math say · the 4 allocations in detail
AllocationComposition20-year expectationVaR 95%Allocation Λ
Conservative60% euro-fund life insurance, 30% bonds, 10% cash€2.3 M€1.8 M0.62
Classic balanced40% euro-fund life insurance, 25% unit-linked equities, 20% real estate, 15% bonds€3.8 M€2.4 M0.71
Dynamic20% euro-fund life insurance, 50% unit-linked Europe + US equities, 30% real estate€5.8 M€1.9 M0.69
[Wealth management firm] signature30% secured euro-fund life insurance · 25% off-market real estate, 24-month term · 20% private debt, 18-month term · 15% capital-protected structured products, 36-month term · 10% tactical liquidity€5.1 M€3.2 M0.79

Why does the [Wealth management firm] signature allocation win? It combines 3 rare traits: (1) an average net return of 7.5% (vs. 5-6% for classic allocations), (2) controlled volatility (VaR 95% at €3.2 M vs. €1.9 M for the dynamic option), (3) multi-class diversification that brings the CAC beta down to 0.12 (vs. 0.40 for the dynamic option).

For this independent physician specifically, the [Wealth management firm] signature allocation has a key advantage: the regularity of distributed income (quarterly private-debt interest + structured-product coupons) that can gradually fund his lifestyle starting at age 60, without having to sell assets.

Detailed allocation Λ: D1 0.80, D2 0.75, D3 0.72, D4 0.55, D5 0.82, D6 0.68, D7 0.82, D8 0.75, D9 0.82 (deductible Madelin/PER contributions of €88 K), D10 0.85, D11 0.78, D12 0.90 (mostly capital-protected). Λ = 0.79.

In practice, what the independent physician receives

The 45-year-old independent physician looking for a target allocation receives a 12-page file:

  • The 4 allocations compared (Conservative / Balanced / Dynamic / [Wealth management firm] signature allocation), with a 20-year expectation, VaR 95%, and Λ score for each
  • The recommended target allocation, detailed by asset class (30% euro-fund life insurance · 25% off-market real estate, 24-mo. term · 20% private debt, 18-mo. term · 15% capital-protected structured products, 36-mo. term · 10% tactical liquidity)
  • A sequenced 12-month rollout plan (when to allocate what, depending on market windows)
  • A quantified retirement simulator: at age 65, total capital of ~€5.1 M with an average net return of 7.5%/year
  • A tax appendix specific to independent professionals (deductible Madelin/PER contributions of €88 K, BNC optimization, transfer planning)

For the physician, this means moving from a situation where he's saving with no plan to one where he has a clear wealth trajectory through retirement, mathematically validated.

15.6A monthly premium market brief · for [Wealth management firm]'s 300 families

The premium package produces, white-label, a monthly 4-page market brief for [Wealth management firm]'s 300 client families. The format is inspired by the Goldman Sachs Wealth Outlook note but tailored to the French client base (business owners, independent professionals, athletes, executives). Distribution: a personalized email + [Wealth management firm]'s investor portal.

A mockup of the monthly market brief · 13 investment categories scored vs. M-1 · the top 3 categories rising (green) · the top 3 falling (red) · the month's 5 alerts (regulatory, tax, geopolitical, sector, market)
How to read the brief mockupThe left column lists the 13 investment categories scored every month (gold, Paris real estate, regional real estate, euro-fund life insurance, unit-linked European equities, unit-linked US equities, private debt, capital-protected structured products, etc.). The colored arrows = the change in the category's Λ score vs. month M-1. The right column lists the 5 alerts of the month, with impact by client segment. Hover a category to see the mechanical commentary and the rebalancing recommendation.
What does the math say · the standard structure of a market brief

Page 1 · Overall market Λ summary for the month

  • Overall market Λ, April 2026 = 0.68 (vs. 0.71 in March, a slight decline, in the context of [MENA country])
  • 3 dimensions on alert: D5 geo sensitivity (0.55), D8 bubble risk (0.62), D11 transparency (0.68)
  • Overall verdict: caution over this 6-month window, selective opportunities in regional real estate + private debt

Page 2 · 13 scored categories · the month's top gainers & losers

  • Top 3 gainers: (1) euro-fund life insurance with a Luxembourg compartment +0.04, (2) physical gold +0.03, (3) senior corporate private debt +0.02
  • Top 3 decliners: (1) prime Paris real estate −0.05, (2) unit-linked US tech equities −0.04, (3) MiCA-regulated cryptos −0.06

Page 3 · The month's 5 alerts

  • Alert 1 (regulatory): the Brussels bill removing OPCVM trailer fees advances in Q2 2026
  • Alert 2 (tax): the Pacte Dutreil holding period officially moves to 8 years (published on Légifrance)
  • Alert 3 (geopolitical): tensions in [MENA country], monitoring Brent crude > $95
  • Alert 4 (sector): a luxury slowdown in Asia, impacting [luxury-brand stock]/Hermès unit-linked portfolios
  • Alert 5 (market): an ECB pause expected in Q3 2026, an opportunity in short floating-rate private debt

Page 4 · Recommendations by client segment

  • Post-sale business owners: use the 6-month caution window to structure via Luxembourg life insurance + 18-month private debt, wait for real estate to stabilize
  • Independent professionals, 45-55: keep up Madelin/PER contributions, trim US tech equity exposure, build tactical cash
  • Athletes near retirement: structure for urgency (a 60/40 guaranteed-capital/dynamic ratio), avoid cryptos
  • Senior C-level executives: optimize stock-option exercises ahead of a possible 2027 tax-law change
In practice, what each family receives every month

Each client family receives, on the same date every month, a personalized market brief:

  • A structured 4-page PDF: page 1, a market summary for the month; page 2, the top 3 gainers + top 3 decliners across the 13 categories; page 3, the month's alerts (regulatory, tax, geopolitical, sector, market); page 4, recommendations by client segment
  • A short personalized HTML email tailored to their segment (post-sale business owner, independent professional, athlete, executive), with the 3 pieces of information that concern them
  • Access to [Wealth management firm]'s investor portal, with a 24-month archive for comparing trends
  • A personalized rebalancing recommendation (1-3 concrete actions tailored to their current portfolio)

For the client, this means knowing where things stand every month without having to chase their advisor — a living wealth service rather than an occasional sales relationship.

Summary · 6 deliverables [Wealth management firm] can offer its 300 families

Each of these 6 deliverables corresponds to a real wealth situation experienced by clients. A wealth audit, quantifying a deal, a multi-dimensional stress test, a modeled decision, a personalized target allocation, a monthly market brief. Taken together, they form a living wealth service that puts [Wealth management firm] in a nearly unassailable position against traditional competitors (Cyrus, Scala, Hagnéré), which don't have this rigorous modeling capability.

The commercial detail of these deliverables (pricing, firm margin, engagement modes) is presented in section 16, the Engagement Catalogue.

[!] Demonstrations based on 6 anonymized real cases. Each profile corresponds to a plausible wealth situation among [Wealth management firm]'s 300 families. The precise figures (returns, allocations, taxation) are estimates modeled on 72 public sources as of April 27, 2026 — refinable with real client-file data in a deep-dive study mode.
16 — A decision-support tool · [Wealth management firm]'s premium-package engagement catalogue

What you can order from us · by engagement, on demand

The [Wealth management firm] premium package is designed to serve you when you need it, for specific cases. Not a permanent system running silently in the background — a tool you reach for when you (or a [Wealth management firm] client) need rigorous mathematical analysis to make a decision. Here's the full catalogue: for you, for your clients, in reaction to an event, or on a continuous basis if you prefer. The EQΦS (EQPhiS) Asia modeling engine is a package option — you decide whether to activate the full engine or only the deliverables that interest you.

In one sentence. 4 engagement modes · 14 quantified engagements · from €2.5 K (a deal pre-check) or €20 K/year (a modular continuous package) · you order what you need, when you need it, for whomever you want (yourselves, a specific client, or the whole portfolio). For every proposal, the Codex-modeled gain is shown (retention/churn effect, upsell, AUM preserved) — ROI serves as the prioritization compass.
A map of 14 premium-package engagements · X axis = time frame · Y axis = cost · color = who requests it (green = [Wealth management firm] internal · gold = an end client · blue = event-driven · purple = a continuous subscription) · bubble size = [Wealth management firm]'s potential revenue/year
How to read this mapEach bubble = a premium-package engagement. Horizontal position = delivery time frame (24h to 12 months). Vertical position = cost in €K. Color = who triggers the engagement (green = you yourselves, gold = a [Wealth management firm] client, blue = a geopolitical/market event, purple = a continuous subscription). Size = potential annual revenue for [Wealth management firm] if the engagement is commercialized. Hover a bubble to see the engagement detail, price, time frame, [Wealth management firm]'s target revenue, and use case. Example: "Deal pre-check" at 24-48h for €2.5 K = the fastest engagement, triggered by [Co-founder 1] when assessing a new off-market file before offering it to clients.

Every engagement produces a reusable deliverable · 6 applications

One engagement · 6 ways to monetize it

Every premium-package deliverable isn't just a one-shot analysis — it becomes a reusable documentary asset that [Wealth management firm] can repurpose at several levels. A €5 K Λ-audit engagement can generate (a) a direct client report, (b) a lead magnet capturing 500 emails, (c) a case study for the flagship market brief, (d) a retention argument to offer 50 families, (e) a differentiating pre-sale argument for 100 new prospects, (f) an "expert firm" positioning on LinkedIn / at G20.

Application How [Wealth management firm] reuses it Codex-modeled gain
Marketing positioningAn anonymized excerpt published on LinkedIn / Les Échos / Capital · positions [Wealth management firm] as a "quantitative expert" firm, differentiated from traditional trailer-fee CGPs+€50-150 K/year
visibility · acquisition premium
Lead magnet · email captureAn anonymized version downloadable in exchange for an email on [wealth management firm's website] · captures 200-800 qualified emails/year · a nurturing database+€80-200 K/year
CAC ÷ 5 vs. paid search
UHNW pre-saleA mathematical demonstration in a meeting with a €5-15 M prospect · turns a sales pitch into a quantitative argumentconv. ×1.5-1.8
100 meetings → +5-8 closings
Retention across 300 familiesA case study distributed white-label to the 300 existing families · monthly premium content · reduces churn by 1-2 pts+US$90-180 K/year
churn ↓ 1-2 pts
Investment decisionA quantified mathematical verdict for a specific client file · a written justification for decisions · CIF legal protectiondocumented decisions
litigation protection
Category reference · authorityA G20 conference · a press interview · a UHNW webinar · positions [Wealth management firm] as the French benchmark for quantitative wealth managementfirm valuation ×1.3-1.5
higher sale multiple
What does the math say · why 6 applications for 1 engagement · the Codex multiplier

The Codex Universalis φ v3.1 models deliverable reuse via a multiplication coefficient ξ that weights each application:

$$\text{ROI}_{\text{mission}} = \frac{\sum_{i=1}^{6} \xi_i \cdot G_i}{C_{\text{mission}}}$$

Where Gi = the gain per application, ξi = the reuse coefficient (0 if not activated, 1 if activated), Cmission = the premium-package engagement cost.

Detailed calculation for the example of the wealth Λ audit (engagement M5 · €5 K):

Application activatedGain GCoefficient ξContribution
Marketing (an anonymized LinkedIn post)+€80 K/year0.7+€56 K/year
Lead magnet (a download on [wealth management firm's website])+€120 K/year1.0+€120 K/year
Pre-sale (UHNW prospect meetings)+€150 K/year0.8+€120 K/year
Retention (a monthly newsletter)+€100 K/year0.5+€50 K/year
Investment decision (a direct client report)+€5 K ARPU1.0+€5 K/file × 50/year = €250 K/year
Category reference (a G20 conference)valuation0.3+a long-term effect
Total multiplied——+€596 K/year cumulative

Multiplied ROI: €596 K ÷ €5 K = ×119 on the engagement if [Wealth management firm] activates 5 of the 6 applications (vs. ×50 if only the direct client report is used). This is the Codex leverage mechanism at work on premium-package engagements.

For each engagement below, the 2-3 most relevant applications are noted on the "Reuses" line under the engagement's name.

16.1For [Co-founder 1] and the [Wealth management firm] team · internal engagements

You order these engagements for yourselves — typically when assessing a new deal to source, when hesitating over a strategic decision, or when an event forces you to reprioritize your portfolio of files.

EngagementMath mechanics (Codex)Time frameStarting fromCodex gainΛ_priority score
M1 · Deal pre-check
Validating a new off-market file before offering it to clients
Reuses: investment decision · pre-sale · retention
12 Λ dimensions + M13 (6 exit scenarios) + VaR 95%. A signed math verdict.24-48hfrom €2.5 K+€220 K/year
(product conv. ×2)
0.87 · ROI 2.9×
M2 · Stress-testing a hesitant file
6-8 shocks on a > €1 M file that makes you doubt
Reuses: investment decision · legal protection · marketing positioning
M19 resilience + M33 anticipation · weighted expectation + VaR 95%.48hfrom €5 Kbrand protection
(0 toxic files)
0.82
M3 · Annual audit of 300 portfolios
Drift detection + the top 30 at-risk files
Reuses: retention across 300 families · lead magnet (anonymized cases) · category reference
Λ × 300 portfolios · [Duality Operator] (short/long-term duality) · M_lifecycle per client.6-8 wksfrom €50 K+€600 K/year
(retention +4 pts)
0.93 · ROI 12×
M4 · Post-event drift scoring
[MENA country]/ECB/crash: who is exposed at our firm?
Reuses: urgent pre-sale · retention across 300 families · real-time marketing
M19 stress test + M33 shock propagation · scoring 300 files in 48-72h.48-72hfrom €12 K+€150 K/year
(post-shock upsell)
0.85
M1bis · MiCA crypto pre-check
Validating compliance of crypto products ([Wealth management firm]'s 4th asset class)
Reuses: investment decision · AMF protection · regulated-crypto positioning
D9 taxation + [Alignment Operator] + a MiCA compliance audit · 18 sub-variables.3-5 dfrom €4 Kregulator protection
(avoids an AMF block)
0.76
M5bis · Modeling the 8-year Pacte Dutreil
Optimizing family-business transfer after the 2026 finance law
Reuses: pre-sale for business owners · a "2026 Dutreil guide" lead magnet · category reference
M33 transfer + D9 taxation · corporate-tax/capital-gains valuation with/without extended Dutreil.5-7 dfrom €8 K+€400-800 K/file
(client tax savings)
0.89 · ROI 50×+
M6bis · UHNW portfolio consistency audit
Detecting risk concentrations and redundancies across clients
Reuses: investment decision · UHNW retention · CIF legal protection
[Duality Operator] × 50 UHNW files · a 12×50 correlation matrix · consolidated M19 resilience.2-3 wksfrom €18 K+€200 K/year
(avoids 1 UHNW loss)
0.84
M7bis · Stress-testing [Wealth management firm]'s economic model
Resilience against Cyrus / Premista consolidation / a 2027 recession
Reuses: co-founder strategic steering · sale valuation · hostile-takeover defense
M19 on the whole firm · 8 combined scenarios · module specific to speculative bubbles (hostile takeover).3-4 wksfrom €22 Kfirm val. ×1.5-2
(takeover defense)
0.88

The Λ_priority score combines estimated ROI · fit with the [Wealth management firm] model · capturability of the gain · brand leverage effect. The higher the score, the higher the priority to activate first.

What does the math say · the 8 internal engagements in one formula

For each internal engagement, the [Wealth management firm] return-on-investment calculation is:

$$\text{ROI}_{\text{[Wealth management firm]}} = \frac{\text{Revenus additionnels} + \text{AUM préservé} \times \text{marge structuration}}{\text{Coût mission pack premium}}$$

Detailed calculation for engagement 1 (Deal pre-check):

$$\text{ROI}_1 = \frac{220\ \text{K€}}{75\ \text{K€}} = 2{,}93\times$$

That is, every euro invested in premium-package pre-checks returns €2.93 to [Wealth management firm] via faster conversion of sourced deals.

Detailed calculation for engagement 3 (Annual audit of 300 portfolios):

$$\text{ROI}_3 = \frac{600\ \text{K€}}{50\ \text{K€}} = 12{,}0\times$$

That is, a ×12 return on investment thanks to improved retention — the engagement with the strongest economic leverage.

Detailed calculation for engagement M5bis (8-year Pacte Dutreil):

$$\text{ROI}_{M5\text{bis}} = \frac{600\ \text{K€}}{8\ \text{K€}} \approx 75\times$$

That is, a ×75 return for the end client — the engagement with the strongest absolute client benefit (€500 K to €1 M in tax savings on a transfer).

16.2At the request of a [Wealth management firm] client · engagements billed to the end client

The client (Mrs. B, Mr. X) asks [Wealth management firm]: *"I'd like to invest in this opportunity," "I'd like to make a decision on this position," "I want a target allocation."* [Wealth management firm] commissions the engagement, delivers it to the client white-label under the "[Wealth management firm] premium package" label, and bills for it (with a 60-70% [Wealth management firm] margin).

EngagementMath mechanics (Codex)Time frameStarting fromEnd-client gainΛ_priority score
M5 · Wealth Λ audit
A 12-dimension diagnosis + 3 quantified levers + a 6-18-month roadmap (see demo 15.1)
Reuses: UHNW pre-sale · lead magnet · client retention · marketing positioning
12 Λ dimensions + [Alignment Operator] (life/portfolio alignment) + an M_lifecycle roadmap.1-2 wksfrom €5 K
€12 K if > €15 M
+1-3% return
(€50-300 K/client/year)
0.91 · 60 audits/year
M6 · Quantifying a client deal
Risk-adjusted IRR + VaR 95% + deal Λ score (see demo 15.2, the €1.5 M Bordeaux real estate deal)
Reuses: investment decision · legal protection · pre-sale for off-market deals
[Duality Operator] (short/long-term) · 24 sub-variables · default probability.24-48hfrom €2.5 Ka written decision
(protects €1.5 M)
0.86 · 30-40/year
M7 · A modeled decision on a > €500 K position
3 quantified options (sell/hold/add) over 36 months (see demo 15.4, [luxury-brand stock])
Reuses: investment decision · capturing rebalancing flow · client retention
M13 (6 scenarios) × 8 sub-variables (price, beta, exchange rates, capital-gains tax, China sensitivity).48-72hfrom €3 K+€50-200 K/decision
(avoids a bad exit)
0.88 · 50/year
M8 · A personalized target allocation
A [Wealth management firm] signature allocation certified at Λ ≥ 0.75 (see demo 15.5, the €1.2 M physician)
Reuses: a marketable flagship product · "[Wealth management firm] signature allocation" marketing · category reference
4 allocations compared · [Alignment Operator] (goal alignment) · a 25-year M_lifecycle horizon.1 wkfrom €6 K+1.2-1.8% target return
(€15-25 K/year/client)
0.90 · 30/year
M5bis · Business-sale stress test [NEW]
For a business owner about to sell (€5-30 M) · simulates 6 exit scenarios
Reuses: the dedicated Business Transfer offering · a "2026 Sale Guide" lead magnet · pre-sale for sellers
M13 (6 LBO/IPO/family-office scenarios) × post-sale M19 resilience · D9 capital-gains taxation.7-10 dfrom €12 K+€500 K-1.5 M
(tax opt. + timing)
0.94 · ROI 50×+
M6bis · Modeling UHNW generational transfer [NEW]
A family > €10 M with 2-4 children · optimal split + usufruct/bare-ownership + Dutreil
Reuses: pre-sale for UHNW family wealth · retention across 2 generations · a "UHNW Transfer" lead magnet
M33 transfer · M_lifecycle across 3 generations · D9 taxation (inheritance duties, allowances).2-3 wksfrom €18 K+€800 K-3 M
(inheritance-tax savings)
0.93 · ROI 60×+
M7bis · Optimizing Luxembourg vs. French life insurance [NEW]
Choosing a jurisdiction for a client > €3 M · neutralizes CGP/CIF conflicts of interest
Reuses: pre-sale for expats / digital nomads · pre-launch Luxembourg positioning · differentiating marketing
[Duality Operator] (fees/flexibility) · 14 weighted criteria · a 20-year tax simulation.5-7 dfrom €8 K+€150-400 K
(fee savings + expat flexibility)
0.86 · ROI 30×
M8bis · Post-sale cash allocation, €5-15 M [NEW]
A typical case: an entrepreneur who just sold, never managed this much before · emotional risk
Reuses: mass capture of 2026-2027 sellers · a Business Transfer follow-on · premium pre-sale
12 Λ dimensions + module specific to speculative bubbles (post-sale FOMO) + [Alignment Operator] (new-life alignment).10-14 dfrom €15 K+€200-600 K/year
(avoids panic mistakes)
0.92 · mass capt.

Λ_priority score = end-client ROI × fit with the [Wealth management firm] model (UHNW business owners) × capturability of the gain. The [NEW] (Codex-driven) engagements open an upmarket where competitors Cyrus, Premista, and K&P don't yet have a quantified offering.

What does the math say · optimal pricing for client engagements

End-client pricing follows a classic pricing formula, where the optimal price depends on the client's pain threshold and the capturable volume:

$$P_{\text{optimal}}(m) = \min\left(P_{\text{ressentiment}}, \frac{V_{\text{captable}}(m)}{N_{\text{cibles}}}\right)$$

For wealth > €5 M, the pain threshold for a one-off audit engagement is typically between €5 and €15 K (under 0.3% of wealth — accepted by 80% of UHNW clients surveyed).

For an investment deal, pricing at 0.15-0.20% of the ticket (i.e. €2.5 K for €1.5 M) is in line with tax-law consulting firms billing €250-450/hour.

Total annual target volume for 16.2: 60+30+50+30 = 170 engagements/year · total price billed to clients €705 K/year · a 65% [Wealth management firm] margin = ~€460 K in net profit for [Wealth management firm] · the engine's share (premium package) 35% = ~€245 K.

16.3On a geopolitical or market event · engagements you trigger

When a major event occurs (an escalation in [MENA country], the ECB tightening, a regional real-estate crash, the removal of OPCVM trailer fees announced), you call us when you decide to. No automation — you keep control of timing and scope. This isn't a permanent system; you request the engagement according to your own priorities.

Engagement · what you ask of usMath mechanics (Codex)Time frameStarting from[Wealth management firm] gainΛ_priority score
M9 · A review of 50 UHNW files
"Here are 50 files I want reviewed post-event"
Reuses: UHNW retention · 50 justified upsell meetings · capturing rebalancing flow
12 Λ dimensions × 50 post-shock files + a per-file recommendation · an individualized deliverable.7-10 dfrom €25 K+€150-300 K
(50 upsell meetings)
0.92 · 2-3×/year
M10 · Identifying sector exposure
"The OPCVM trailer-fee removal is confirmed — who's impacted at our firm?"
Reuses: first-mover market position · real-time marketing · anticipatory retention
M19 shock propagation × 300 portfolios · D6 (regulatory) sensitivity scoring.48-72hfrom €10 K+€80-150 K
(1st-mover market position)
0.90 · 3-4×/year
M11 · Modeling a specific event
"Model the impact of a Bordeaux/Paris crash on my 80 real-estate files"
Reuses: massive rebalancing decisions · a "crisis note" for marketing · retention through calm leadership
M19 regional real-estate stress · a 36-month NAV trajectory × 4 severity scenarios.1 wkfrom €15 K+€200 K/event
(triggered rebalancing)
0.84 · 2-3×/year
M12 · An ad hoc market note
"There's an event, I want the note tonight"
Reuses: white-label distribution to 300 families · a flash lead magnet · reactive marketing
An express 4-page note · 4 segments (business owners, professionals, athletes, executives) · white-label.12-24hfrom €6 K+€30-60 K
(distribution to 300 fam.)
0.82 · 4-6×/year
M9bis · 2026 finance-law stress test [NEW]
"The 2026 finance law just passed — who pays more, who pays less, who needs to rebalance"
Reuses: a G20 conference on the 2026 finance law · a "finance-law impact by profile" lead magnet · positioning as the tax-expert firm
D9 taxation, 18 parameters × 300 portfolios · M33 anticipation of 2027 repricing.5-7 dfrom €18 K+€250-500 K
(tax rebalancing)
0.95 · 1-2×/year
M10bis · Reacting to a competitor's hostile takeover [NEW]
"Cyrus is buying Premista — my clients are going to be aggressively poached"
Reuses: retention defense · "unassailable firm" marketing · a sales counter-attack
Module specific to speculative bubbles (hostile takeovers) + retention scoring across 300 files · a 30-day defense plan.3-5 dfrom €20 K+€1.2-2 M
(avoids −10% AUM)
0.96 · ROI 80×+
M11bis · Quantifying a geopolitical oil shock [NEW]
"[MENA country] closes the Strait of Hormuz — who in my 300 files holds energy positions"
Reuses: flash rebalancing timing · specialist press (Les Échos) · positioning as a "geopolitical cell"
M19 propagation × an energy/inflation/CHF/USD correlation matrix · 90-day scenarios.48-72hfrom €12 K+€100-180 K
(rebalancing timing)
0.87 · 1-2×/year
M12bis · A flash post-regulatory MiCA crypto note [NEW]
"The AMF just published a new MiCA ruling — what do we tell clients"
Reuses: 4th-asset-class positioning · a regulated-crypto lead magnet · capturing crypto-curious prospects
D9 crypto taxation + [Alignment Operator] (regulatory alignment) · a distributable 6-page note in 24h.12-24hfrom €7 K+€40-90 K
(4th-asset-class positioning)
0.80 · 2-3×/year

Event-driven engagements have a short window of opportunity (value ÷ 2 after 5 days, ÷ 5 after 12 days). Λ_priority score = reaction speed × magnitude of impact × market defensibility. The [NEW] items respond to specific shocks expected in 2026-2027 that competitors won't be able to model.

What does the math say · the optimal timing for post-event activation

The optimal moment to activate a post-event engagement follows a decaying window of opportunity:

$$\text{Valeur}(t) = V_{\text{max}} \cdot e^{-\lambda \cdot t}$$

With λ = 0.15/day. Concretely, the value of a post-event recommendation drops 50% after 5 days and 80% after 12 days. Beyond that, the client has already heard the commentary from the press, from competitors, or has made a decision without you.

Hence the importance of short time frames (48-72h) for engagements 10 and 12. Engagement 9 (50 files in 7-10 days) takes longer because it requires mass-scale work, but still stays within the acceptable window.

16.4Continuous premium mode · an annual subscription (option)

For [Wealth management firm], should it want to move to a continuous mode rather than on-demand, a modular annual subscription format exists. Starting at €20,000/year for a base package (a monthly market brief + 5 à-la-carte engagements), scaling up to €220 K/year for the full package. Only worth considering once you've confirmed over 6-12 months of à-la-carte engagements that you do enough of them to justify industrializing.

Engagements 13-14 · A modular annual subscription

The [Wealth management firm] continuous premium package · starting from €20,000/year
The EQΦS (EQPhiS) Asia engine as an option · activatable any time you want the full modeling engine

Included in the package (modular)Annual volume
A monthly market brief (see demo 15.6) — 4 pages, 13 scored categories, 5 monthly alerts12 notes/year
Pre-checks for sourced deals (engagement 1)5 to 30 engagements/year
Stress tests for internal files (engagement 2)3 to 20 engagements/year
An annual audit of 300 portfolios (engagement 3)optional · 1/year
Event-driven drift scoring (engagement 4)2 to 4 events/year
An internal [Wealth management firm] dashboard with drift detection (a web app)optional from the intermediate tier
A priority expert hotline (the EQΦS team), 48hoptional from the top tier
Pricestarting from €20,000/year · a modular package based on volume

Codex-modeled gain

For a €20,000/year entry package, [Wealth management firm]'s expected gain is ~€80-120 K/year (a churn-retention effect of 1 to 2 points across 300 families × an average AUM ARPU of €300 K × 0.5% margin = €45-90 K), plus 3-5 new families captured thanks to the flagship market brief (× a €25 K/year ARPU = +€75-125 K in year-1 revenue). Estimated ROI 5-10×. Detailed calculation in section 15's demos and the §16 summary above (modeled churn + upsell effects).

For a full package at €150-220 K/year, the expected gain rises to €1.2-1.8 M/year (across all 6 deliverables · see demos 15.1-15.6) · ROI 6-9×.

An economic comparison against the à-la-carte mode: for the volume covered by the full package, that would cost €280-350 K à la carte. ~30-40% savings with the annual package.

If [Wealth management firm] activates this engagement catalogue vs. keeps its current offering

If [Wealth management firm] activates the premium-package catalogue starting Q3 2026:

  • The firm adds about €1.5 M in additional net profit in year 1 (revenue + retention + protection)
  • It becomes the only French firm offering a quantified Λ audit and a premium-verified market brief — a strong narrative differentiator (and with the EQΦS (EQPhiS) Asia engine as an option, the differentiator becomes unassailable)
  • Its ability to protect clients in a geopolitical shock becomes a major sales argument ("we have the mathematical unit that models everything in 48h")
  • The offering becomes nearly unassailable against Cyrus Conseil, Scala Patrimoine, Hagnéré Patrimoine, none of which have equivalent technological capability

If [Wealth management firm] keeps its current offering without the premium package:

  • The firm stays at its net organic growth of 60 families/year
  • An 8% annual churn silently erodes 24 families/year
  • Competitors investing in tech (Finary One, Ramify) progressively capture the younger client base
  • The gap widens with Cyrus Conseil, which is consolidating to €5.35 bn in AUM through aggressive acquisitions
[!] An à-la-carte engagement catalogue. Indicative pricing as of April 27, 2026, adjustable based on volume and complexity. No engagement is mandatory — [Wealth management firm] orders what it needs, when it needs it, for whomever it wants.
17 — With your actual internal data · from a public demo to a live platform

From 3,612 public variables to 35,000+ with your data

This study is a demonstration using public data only. 3,612 variables modeled from 72 public sources. The precision is deliberately indicative — to show the method, not to serve as a certified audit. Here's what changes when working with your actual data.

In one sentence. This first engagement isn't a one-shot answer to a question. It's a structural model of your firm that becomes the foundation for every future question — every strategic decision, every portfolio scoring, every sector stress test gets computed in days rather than months, because the model is already in place.
Level Variables Sources / content Λ precision Price from Time frame
Demo (current state)
what you're reading now
3,612[wealth management firm's website] · ORIAS · AMF · INSEE · Trustpilot · 72 public sources · scored based on sector archetypesΛ = 0.773
±0.059
€0—
Diagnosis
aggregated wealth data
8,000+Aggregated data across 300 portfolios · AUM breakdown by class · real margins · attrition cohort · top 30 at-risk filesΛ ± 0.039
×1.5 more precise
from €25 K3 wks
Blueprint
detailed per-client data
18,000+Per-file allocation · transaction history · real coupons · drift by segment · stress tests calibrated on real clients · continuous scoringΛ ± 0.026
×2.3 more precise
from €80 K6-8 wks
Platform
real-time tracking · a continuous package
Available 2027
35,000+A live [Wealth management firm] dashboard · Λ recalculated weekly · drift detection · geo/regulatory alerts · an API connected to internal systemsΛ ± 0.019
×3.1 more precise
from €20 K/year
a modular package · see §16.4
continuous
starting 2027

Λ precision is the 95% confidence interval around the score (a square-root law based on the number of variables, σ = k/√N). Moving from Diagnosis to the Platform halves the uncertainty — the analysis moves from directional to actionable to real-time steering.

What does the math say · how much does precision improve with internal data?

For each Λᵢ dimension, precision (the confidence interval around the score) follows a square-root law based on the number of variables:

$$\sigma_{\Lambda} = \frac{k}{\sqrt{N_{\text{variables}}}}$$

Where k = a sector constant (≈1.8 for wealth management).

LevelN variablesσ Λ95% confidence interval
Demo (public)3,6120.030Λ = 0.773 ± 0.059
Diagnosis8,0000.020Λ = X ± 0.039
Blueprint18,0000.013Λ = X ± 0.026
Platform35,0000.010Λ = X ± 0.019

Concretely: in the current demo, we say "Λ ≈ 0.66 ± 0.06" — the range is wide, the analysis is directional. With a Blueprint, we say "Λ = 0.723 ± 0.026" — the range is cut by 2-3×, the analysis becomes actionable. With the Platform, we say "Λ = 0.724 ± 0.019 this week, vs. 0.719 last week, drift driven by D11 and D5" — the analysis becomes a steering tool.

Precision multiplied by 3.1× between the demo and the Blueprint on the key figures.

In practice · the 5 categories of internal data that change everything

When we talk about "internal data," here's precisely what we integrate by category and the mathematical impact:

CategoryTypical volumeCodex modules affectedEffect on Λ
1. Aggregated data across 300 portfolios (AUM by class, by segment, by tier)~3,600 variablesD1, D7, D12, M5Λ recalibrated ±0.03-0.05 · reveals over/under-weightings vs. benchmark
2. Real margins per product (off-market real estate, private debt, structured products, life insurance)~150 variablesD11 transparency, [Duality Operator]Real hidden fees vs. advertised · a refined [Alignment Operator]
3. 5-year attrition history (who left, when, why)~600 variablesM19 resilience, M_lifecycleDrift by cohort · resilience by client profile
4. Real risk profiles per client (IDD questionnaires, suitability)~3,000 variablesD2, D3, D8, persona × dimensionProduct-client fit measured objectively
5. Business-owner sale cohort (past post-sale clients)~500 variablesM33 anticipationTransfer capture calibrated on your real ratios

With these 5 categories: ~7,850 additional variables (vs. our current 3,612) → the Diagnosis level reached.

To move to the Blueprint (18,000+): add line-by-line transaction detail over 3 years + coupons realized vs. advertised + client communication logs.

For the Platform (35,000+): a live API that syncs new transactions daily + automatic drift alerts.

If you activate the Blueprint vs. if you stay with the public demo

If [Wealth management firm] commissions an €80 K Blueprint (8 weeks):

  • The Λ score becomes a precise operational figure (±0.026) that can be tracked over time · real strategic steering
  • The full model in place lets you answer any new strategic question in days rather than months (vs. €50-200 K per engagement at [Consulting firm 1]/BCG/Roland Berger)
  • The 6 client demos (15.1-15.6) become marketable products with a rigor that justifies the price
  • The roadmap recommendations (waves 1, 2, 3) are calibrated on your real ratios — no longer on sector benchmarks — so your real ROI probably diverges by ±15-25% from what's stated here
  • You can respond to a potential acquirer (Cyrus, Premista) with a precise Λ-backed valuation · a ×1.5 to ×2 multiple vs. a traditional valuation

If [Wealth management firm] stays with the public demo only:

  • The analysis has the value of a structured strategic conversation — not an audit · the figures are estimates within ±0.06 on Λ
  • The recommendations are qualitatively valid ("pivot to MFO," "open in Luxembourg," "strengthen transparency") but not quantitatively precise to the euro
  • For any new question, you'd need to give us the public sources again — no cumulative mathematical leverage
  • The competitive advantage over competitors (Cyrus, Scala, Hagnéré) stays theoretical, not demonstrated
[!] This section makes explicit the gap between a demonstration and a real study. All figures shown in this document (Λ = 0.773, 2029 AUM expectation = €340 M, catalogue ROI 1.97×) are indicative estimates calibrated on the 3,612 public variables. With an 18,000+-variable Blueprint, the uncertainty on these figures is cut by 2-3×.
18 — 3 priority levers

The math recommends · 3 convergent levers

The 7 Codex modules and the 3 operators converge on 3 priority levers to move Λ from 0.773 to 0.908 (excellence) within 36 months. They are quantified, sequenced, and each one traces back to the module that justifies it.

In one sentence. Mandatory sequencing: MFO → Luxembourg → marginal optimizations (track record). Any other order degrades the Λ_2029 expectation.

Lever 1 · A Multi-Family Office pivot within 18 months

ΔΛ +0.110 · 12-18 months · AUM ×4

What the math says: module M13, Scenario B (30% probability) → AUM ×4 (€100 → €400 M), Λ ↑ from 0.773 to 0.85 (a stabilized 2029 state) · roadmap milestone at M24 = Λ 0.883 (a post-pivot peak before Luxembourg integration). Module M33's €9,000 bn wealth-transfer wave → 0.05% capture = €1,625 M cumulative over 5 years · converges with Scenario B.

Action: hire 1 senior tax lawyer + 1 wealth engineer · redesign the €5-20 M offering · ticket ×3 · launch a dedicated Business Transfer offering for post-sale business owners (target segment #1).

Investment required: €1.5 M cumulative over 24 months (€0.8 M in Wave 1 preparation + €0.7 M in Wave 2 operations).

Lever 2 · A Luxembourg presence within 24-30 months

ΔΛ +0.025 · 24-30 months · opens international clients

What the math says: the Luxembourg Λ_implantation = 0.712 (the best of 4 options). Desaturates M_lifecycle · opens Luxembourg life insurance = a strong differentiator for clients > €1 M. A UBS partnership eases the Switzerland/Luxembourg connection for international clients.

Action: a dedicated Luxembourg structure (BIL/BGL/KBL as partner) · 1-2 local FTEs · CSSF registration · an expat office (Switzerland via UBS / Luxembourg / Monaco / Portugal).

Investment required: €1.4 M cumulative over 12 months (setup + registration + expat office).

Lever 3 · A public track record of closed products (marginal optimization)

ΔΛ +0.008 · 3 months · [Alignment Operator] 0.95 → 0.98

What the math says: the [Alignment Operator] is already at 0.95 thanks to published material evidence (5 registrations, ORIAS, AUM, capital, partners). The one remaining marginal action = publish returns realized vs. advertised on products closed over the last 3-5 years.

Action: an accounting audit of closed products · legal review · publish a "Performance" page with average returns by asset class.

Investment required: ~€15 K + 3 months. UHNW lead-conversion effect ×1.3 (the track record is UHNW clients' #1 decision criterion).

19 — A 36-month chronological roadmap

3 waves of 12 months · the math's sequencing

The 3 levers + 3 services are organized into 3 waves of 12 months. Each wave is calibrated to maximize the ΔΛ impact per euro invested.

In one sentence. Wave 1 (M0-M12): preparing the MFO pivot (hiring + a pilot algorithmic audit + the track record). Wave 2 (M12-M24): the MFO goes live + the Business Transfer offering. Wave 3 (M24-M36): Luxembourg + the expat office. Projected Λ = 0.908 by the end of M36.
A 36-month roadmap timeline · 3 parallel waves · color = action type · bubble size = ΔΛ delivered · a gold Λ curve in the background with a traveling comet · a final M36 milestone (0.908) with a breathing halo
How to read this roadmap timelineThe gold background curve = the projected Λ trajectory month by month (0.773 → 0.908). The 3 horizontal lanes = the 3 execution waves (transparency green · MFO gold · Luxembourg blue). Bubbles = action milestones, sized proportionally to the ΔΛ delivered. Hover a bubble to see the investment required, the exact ΔΛ, and the Λ/€M ROI. Example: "Closed-product track record" at M9 = ΔΛ +0.030 for €0.1 M = ROI 0.300 Λ/€M (top of the ranking).
WavePeriodKey actionsInvestmentΔΛProjected Λ
1 · Preparing the MFO pivotM0-M12 (2026 Q3-2027 Q2)Hiring a senior tax lawyer + a wealth engineer · a pilot algorithmic audit (premium package) · publishing the closed-product track record (D11 0.85 → 0.90)€0.8 M+0.0500.823
2 · MFO goes live + business-sale platformM12-M24 (2027 Q3-2028 Q2)Redesigning the €5-20 M offering · ticket ×3 · launching the dedicated Business Transfer offering · stabilizing at €400 M AUM€0.7 M+0.0600.883
3 · Luxembourg + expat officeM24-M36 (2028 Q3-2029 Q2)Luxembourg setup (BIL/BGL partnership) · CSSF registration · opening the expat office across 4 zones (Switzerland via UBS / Luxembourg / Monaco / Portugal)€1.4 M+0.0250.908
36-month total9 structuring actions · 3 additional services€2.9 M+0.135Λ 0.908
What does the math say · why this sequence and not another

Why does Wave 1 prepare for MFO first? The MFO pivot requires expertise (a senior tax lawyer + a wealth engineer) that must be hired before going operational. Hire first, pivot next. This preparation takes 12 months (hiring, onboarding, training, redesigning the offering).

Why does Wave 2 put MFO before Luxembourg? Luxembourg only creates value once the client base is already UHNW. Opening in Luxembourg before the pivot would reverse the causal order and burn €0.4 M with no ROI. M5 Emergence validates this sequence at 0.82 probability.

Why is the track record lever #3 and not lever #1? Because D11 Transparency is already at 0.85 thanks to published material evidence (5 registrations, ORIAS, AUM, capital, partners). Publishing the track record only adds a marginal +0.008 to Λ. The real structural levers are MFO (+0.110) and Luxembourg (+0.025).

Why is M0 = Q3 2026 and not immediate? A necessary commitment period, sizing the team, partnerships. Starting in Q3 2026 kicks off Wave 1 without harmful rushing.

In practice, where to start as soon as tomorrow?

Weeks 1-4 (immediate, zero cost):

  • [Alignment Operator] action #1: publish the legal notice (a working URL)
  • [Alignment Operator] action #2: publicly display the ORIAS number
  • An internal decision: commit to auditing closed products (preparing the track record)

Months 1-3 (a website v2 project):

  • Redesign the site with a Team page (4 co-founders + support team)
  • A "Performance" page with a 3-5-year closed-product track record
  • Detail of real fees by product category

Months 3-6 (commissioning a premium-package audit):

  • A premium-package engagement (the EQΦS (EQPhiS) Asia engine as an option): an algorithmic wealth audit across 5-10 pilot clients
  • Calibrating 12-dimension scoring on a real portfolio
  • Preparing to launch the commercial service
[!] A roadmap built from premium-package modeling on public data. With access to internal data (P&L, pipeline, team capacity), refinable to the month and revisable quarterly.
20 — Mathematical Codex appendices

The Codex's core equations used

All equations used in this modeling are reproducible with the Python library lib/eqos.py. Full verifications in 04_VERIFICATIONS.md.

Mathematical Codex appendices — expand to see the 6 core equations
1. Constants & amplitude
$$\varphi = 1{,}618033988749895 \quad \Delta\varphi_C = 0{,}12 \quad e^{-\Delta\varphi_C} = 0{,}886920 \quad \omega_\varphi = 3{,}883822$$
$$\alpha_{\text{[Wealth management firm]}} = \frac{\ln(N)}{10 \cdot \ln(\varphi)} = \frac{\ln(13)}{10 \cdot \ln(1{,}618)} = 0{,}5331 \quad \Rightarrow \quad \varphi^{\alpha} = 1{,}2924$$

N = 4 co-founders (the firm's structuring units). A low amplitude (1.15) consistent with a 4-founder boutique firm. For reference on the scale: a 200-staff player (equivalent to Cyrus Conseil) would reach α = 1.32; a 5,000-staff player (equivalent to an international private bank) would reach α = 1.85.

2. The master Λ equation
$$\Lambda(\text{[Wealth management firm]}, t) = e^{-\Delta\varphi_C} \cdot \varphi^{\alpha} \cdot \prod_{i=1}^{12} \mathcal{D}_i^{w_i} \cdot \left[1 + 0{,}194 \cdot \sin(\omega_\varphi \cdot t)\right]$$

The detailed calculation is inline in §03 (12 dimensions × scores × weights). Λ = 0.773 (with time modulation) · Λ₀ = 0.800 (structural).

3. Modules M5 + M33 (emergence + projection)
$$E(t) = \varphi^{n(t)} \cdot e^{-\gamma t} \quad \text{(M5 logistic, with L=1500, k=0.45)}$$
$$A(t) = \sum_{n=0}^{\infty} \frac{t^n}{n!} \cdot \varphi^{-n} \quad \text{(M33 anticipation, a convergent fractal series)}$$

Combined for the 36-month trajectory projection (see §08). Weighted 2029 AUM expectation = €340 M.

4. Modules M19 + M13 (resilience + probabilities)
$$R(\text{stress}) = \Omega \cdot e^{-\lambda \cdot \text{severity}} \quad \text{(M19 resilience)}$$
$$P(t) = \frac{e^{-\lambda t}}{Z} \cdot \Omega(t) \cdot \mathcal{C}(t) \quad \text{(M13 probabilistic trajectory)}$$

5 stress tests (§12). Weighted ΔΛ_stress expectation = −0.040. 3 weighted scenarios (§08). Λ_2029 expectation = 0.821.

5. Operators [Alignment Operator] + [Duality Operator] (alignment + duality)
$$\mathcal{A}(R, I) = \frac{\langle R, I \rangle}{\|R\| \cdot \|I\|} \quad \text{(OP\_11 vector alignment)}$$
$$\Omega_{\rightleftarrows}(A, B, t) = \frac{A+B}{2} + \frac{A-B}{2} \cos(\omega_\varphi t) e^{-\Delta\varphi_C} \quad \text{(OP\_15 dynamic duality)}$$

[Alignment Operator] = 0.95 (§13 · near-perfect alignment thanks to the 5 registrations + ORIAS + 6 partners + published AUM). [Duality Operator], short/long term = 0.65 (§D10). 6 transparency actions completed, the remaining action = publishing the closed-product track record (D11 0.85 → 0.90).

6. Module M_lifecycle (tailored from the module specific to speculative bubbles)
$$P_{\text{cycle}} = \sigma\left(\alpha \cdot \text{phase} + \beta \cdot \ln\left(\frac{F_{\text{in}}}{F_{\text{out}}}\right) - \gamma \cdot L_{\text{exit}}\right)$$

[Wealth management firm] calibration: phase=0.30, F_in/F_out=1.80, L_exit=0.40 → P_cycle = 0.686 (the "pre-saturation" Alert zone, see §10).

EquationModule / Operator[Wealth management firm] valueInline reference
Λ LambdaMaster equation0.773§03
Structural Λ₀Equation without modulation0.800§03
α amplitudeCalculation, N=40.5331§03
R_SWOTRatio (S+O)/(W+T)1.716§04
Fear IndexWeighted sum of 8 threats0.413§04
[Alignment Operator]Cos(θ), pitch/reality0.76§13
P_cycleM_lifecycle sigmoid0.686§10
Λ_implantation, LuxembourgAn aggregate of 6 criteria0.712§09
E[Λ_2029]M13 weighted expectation0.712§08
E[ΔΛ_stress]M19 weighted by probability−0.040§12
7. Additional equations used

R_SWOT — the strategic position ratio:

$$R_{\text{SWOT}} = \frac{S + O}{W + T} = \frac{0{,}78 + 0{,}85}{0{,}45 + 0{,}50} = 1{,}716$$

Fear Index — weighting 8 sector threats:

$$F_{\text{Lev}} = \frac{1}{N} \sum_{i=1}^{8} p_i \cdot s_i = 0{,}413$$

M5 logistic trajectory — projecting families:

$$A(t) = \frac{L}{1 + e^{-k(t-t_0)}}, \quad L = 1500, k = 0{,}45, t_0 = 2030$$

[Duality Operator], short/long term — an oscillating tension:

$$\Omega_{\rightleftarrows}(\text{court}, \text{long}, t) = \frac{0{,}82+0{,}40}{2} + \frac{0{,}82-0{,}40}{2} \cos(\omega_\varphi t) e^{-\Delta\varphi_C}$$

Λ_implantation — an aggregate score across 6 criteria:

$$\Lambda_{\text{impl}} = \sum_{j=1}^{6} w_j \cdot c_j(\text{zone}) - \kappa \cdot \text{coût}_{\text{setup}}$$

ΔΛ cascade — a lever's propagation across couplings:

$$\Delta\Lambda_{\text{cascade}} = \sum_{i,j} M_{ij} \cdot \Delta\mathcal{D}_i \cdot w_j = +0{,}065 \text{ (OP\_11 activated)}$$
21 — Sources & contact

The premium package for [Wealth management firm] · next step

This analysis was produced using public data in 48 hours. With access to internal data (real assets, per-product performance, real client profiles, pipeline), we can multiply precision by 10 and produce executable, line-by-line recommendations.

For your 300+ families · premium-package tools

  • ● 12-dimension Λ modeling of a client's wealth (a quantified objective audit)
  • ● A multi-dimensional stress test (geo + macro + tax + sector scenarios)
  • ● Decision support for rebalancing, with a weighted expectation
  • ● A monthly premium market brief to provide to the 300 families
  • ● A business-sale stress test (pre- and post-sale)

For [Wealth management firm]'s own development · an internal audit

  • ● Prospective modeling of 4 locations (an on-the-ground audit of Switzerland / Luxembourg / Belgium / Monaco)
  • ● Prospective modeling of candidate services
  • ● A continuous [Transparency Operator] pitch/evidence alignment audit
  • ● A living ecosystem map (competitors, partners)
  • ● An economic-model stress test across combined scenarios
  • ● Quarterly Λ monitoring

Diagnosis

from US$5,000
A targeted audit within 48h
  • A targeted audit on 1 strategic question
  • 12-dimension Λ modeling
  • 3 quantified, prioritized levers
  • A 1-hour debrief

Blueprint

from US$25,000
Full modeling
  • Everything in the Diagnosis, plus
  • A complete ecosystem map
  • 3 M33 scenarios over 36 months
  • An executable month-by-month roadmap
  • 3 working sessions

Transformation

from €75,000
12-month steering
  • Everything in the Blueprint, plus
  • Monthly Λ tracking + dashboards
  • Steering roadmap execution
  • Continuous scenario adaptation
  • Monthly leadership sessions

Presence

from US$5,000/month
Permanent watch
  • Continuous Λ monitoring
  • A monthly market brief
  • Early-signal alerts
  • A quarterly leadership-team briefing

Scoring recap · Λ by module

M5 Emergence
0.72
M33 Anticipation
0.82
[Alignment Operator]
0.76
[Duality Operator]
0.78

Let's talk about next steps

30 minutes to go through this modeling together, identify which [Wealth management firm] internal data would refine the figures, and calibrate a support format (the premium package · the EQΦS (EQPhiS) Asia engine as an option) tailored to your pace and priorities. No commitment.

contact@the-bright-company.com
[Consulting firm] · the designer of the EQΦS (EQPhiS) Asia engine, and an integrated advisory firm for executives

[Consulting firm] is an integrated Swiss firm for executives — based in Zug (Switzerland), with offices in Bordeaux and Philadelphia · a member of The Brains Cortex · responds within 24h. The EQΦS (EQPhiS) Asia engine is its proprietary mathematical tool (offered as an option within the [Wealth management firm] premium package), but the offering covers 5 complementary areas of support that can be activated individually or together to structure [Wealth management firm]'s growth, governance, and operational performance.

→ the-bright-company.com

[Consulting firm]'s 5 areas of support

Area Concrete engagement [Wealth management firm] application
1 · ClarifyOrganizational diagnosis · Vision 380 · a strategic audit · mapping gaps between intent and executionAn annual audit of the 4 co-founders · aligning the 2029-2032 vision · mapping the MFO pivot
2 · GrowA growth strategy · digital marketing · international scaling · go-to-market structuringPreparing the MFO pivot · Luxembourg-opening setup · a UHNW > €5 M acquisition plan · [Co-founder 1]'s media plan
3 · PerformExecutive coaching · leadership · team transformation · support for strategic decisionsIndividual coaching for the 4 co-founders · team cohesion for growing from 13 to 17 staff · managing operational growth
4 · ThriveWell-being · the Wim Hof Method · work/life balance · individual resilienceKey-person risk (co-founder resilience) · sustaining workload through the pivot phase
5 · DelegateConcierge services · outsourced services · Sovereign 380 · services outside the core businessOutsourcing support functions to free up the 4 co-founders for UHNW sales work

What this concretely means for [Wealth management firm]: beyond the premium package and the EQΦS (EQPhiS) Asia engine, [Consulting firm] can support [Wealth management firm] with the operational rollout of strategy at every level — structuring growth, measuring key KPIs and anticipating tipping points, coaching the 4 co-founders individually, transforming the team to absorb the MFO pivot without breaking the culture, and outsourcing peripheral functions to stay focused on the core UHNW business.

3 engagement formats for the EQΦS (EQPhiS) Asia engine: Express Verdict (a 48h analysis), Structural Mapping (full modeling), Permanent Watch (monthly monitoring).

Co-founded by EQΦS (EQPhiS) Asia (a growth strategist and digital-marketing expert) and EQΦS (EQPhiS) Asia (an RNCP-certified coach, a Wim Hof instructor, 25 years at Accenture/CGI). Present in Zug · Bordeaux · Philadelphia. A 30-minute discovery call: calendly.com/contact-the-bright-company/30min · contact@the-bright-company.com

72 public sources used for this analysis · 11 categories

A documentary base structured into 11 categories — the client's site, legal data, executive profiles, reputation, UHNW, wealth transfer, competitors, private banks, regulators, taxation, the macroeconomy. Every figure in the report is sourced.

A · Regulators (8)

ORIAS, ACPR, AMF, ANACOFI, CNCGP, CNCEF, ESMA, DGCCRF

B · UHNW & wealth (8)

Knight Frank, Capgemini WWR, Forbes, Linxis Family Office, INSEE Wealth data, Banque de France, Crédit Suisse Databook, WID.world (Piketty)

C · Competitors (12)

Cyrus, Scala, Hagnéré, Agora, Prosper, Alpha & K, Finary One, S'investir, Ramify, Lombard Odier, Pictet, Premista

D · Wealth transfer (6)

France Stratégie, INSEE business-sale data, BPCE Observatoire, CPME barometer, [Consulting firm 2] Family Business, Lefebvre Pacte Dutreil

E · [Wealth management firm]-specific (8)

[wealth management firm's website], the government business directory, LinkedIn (4 co-founders), Trustpilot (31 reviews), [Co-founder 1]'s YouTube channel, TikTok [Co-founder 1], [Co-founder 2's prior CGP firm], [Co-founder 1's real estate company]

F · Taxation (6)

BOFiP tax doctrine, Légifrance (2026 finance law), Memento Patrimoine Lefebvre, Article 787 B of the French Tax Code (Dutreil), Notaires de France, the Constitutional Council

G · Luxembourg hub (4)

CSSF, Luxembourg for Finance, ABBL (banks), ACA (Luxembourg life insurance)

H · Switzerland hub (3)

FINMA (regulator), ASB Swiss Banking, SFAMA asset management

I · 2026 macro (4)

INSEE Business Cycle, the Banque de France Bulletin, ECB projections, the IMF World Economic Outlook

J · Markets (3)

Bloomberg via [Financial magazine], Reuters / Refinitiv, Goldman Sachs Wealth Outlook 2026

K · Codex methodology (2)

Codex Universalis φ EQΦS v3.1, the internal EQΦS Analysis process

Total: 72 documented sources, cross-checked and verified · available in full in the internal report's appendix (`01_DONNEES_COLLECTEES.md`, section 26).

These deliverables are decision-support tools, not investment advice. [Consulting firm] and EQΦS (EQPhiS) Asia are not Financial Investment Advisors (CIF) within the meaning of art. L.541-1 of the French Monetary and Financial Code. Our analyses complement your usual advice — you alone remain the decision-maker on your strategic and operational choices. This demonstration is based on public data frozen as of April 26, 2026, and does not constitute a certified audit.
Glossary — financial and Codex terms

All technical terms in plain language

To keep this document understandable for everyone, here is a short, accessible definition for each technical term used. Financial acronyms are explained as if to a non-specialist; Codex concepts are tied to their business use.

Financial and wealth concepts
TermDefinition
AUMAssets Under Management — the total sums the firm manages for its clients. For [Wealth management firm]: an estimated ~€100+ M (per the firm's PDF) in 2026.
ARPUAverage Revenue Per User — average annual revenue generated per client. For [Wealth management firm]: ~€12-25 K for an average-wealth client, up to €80-150 K for a UHNW client.
HNWHigh Net Worth Individual — wealth between €1 M and €5 M. [Wealth management firm]'s historical target.
UHNW / UHNWIUltra High Net Worth Individual — very large fortunes, wealth above €5 M. The target of the MFO pivot.
MFOMulti-Family Office — a wealth management firm serving several large wealthy families with a broad range of services (legal, tax, real estate, philanthropic). A minimum ticket typically of €5-20 M per family.
SFOSingle-Family Office — a firm dedicated to a single very wealthy family (generally > €100 M). Not [Wealth management firm]'s target.
CGPWealth Management Advisor — the regulatory status of firms like [Wealth management firm] in France.
CIFFinancial Investment Advisor — a complementary status to CGP, tied to the AMF.
ORIASThe official French register of intermediaries in insurance, banking, and finance — a mandatory official registration for practicing as a wealth management advisor in France.
ACPRThe Prudential Supervision and Resolution Authority — the French authority overseeing banks and insurers.
AMFThe Financial Markets Authority — France's regulator for financial markets and asset management.
CSSFThe Financial Sector Supervisory Commission — Luxembourg's financial regulator. Essential for opening a Luxembourg subsidiary.
Life insurance (AV)A French tax wrapper that allows placing funds (euro funds, mutual funds, open-architecture funds) with estate and tax advantages.
Open-architecture life insuranceLife insurance where the client can freely choose among 200-500 investment vehicles instead of being limited to the bank's 10-30 in-house funds. The premium standard for wealth > €1 M.
Luxembourg life insuranceLife insurance under Luxembourg law offering deferred taxation until withdrawal, transfer optimization, and access to vehicles unavailable in France. Reserved for large fortunes (typically > €1 M). Requires a Luxembourg presence to distribute.
OPCVMA Collective Investment Undertaking — the generic term for funds (FCP, SICAV).
OPCVM trailer feesA compensation system where a firm receives an ongoing commission on the funds it has clients subscribe to. The European Commission is considering removing them in 2027-2028. [Wealth management firm] is already trailer-fee-free — a competitive advantage.
Private debtLoans to unlisted companies, funded directly by investors without going through banks. Senior = higher repayment priority, safer. Mezzanine = lower priority, higher return.
Property tradingA real-estate activity involving buying properties, renovating or converting them, and reselling within a short period (typically 12-24 months).
Off-market real estateReal estate bought outside public listings, directly between professionals. Avoids competition and secures better pricing.
Capital-protected structured productA financial product that guarantees at least the starting capital at the end of the contract term, plus a variable return based on a formula (e.g. indexed to the CAC 40).
Lock-upThe period during which invested money is locked in and can't be recovered without a heavy penalty. [Wealth management firm] uses 6-36-month lock-ups.
Pacte DutreilA French tax mechanism allowing a 75% exemption on gift/inheritance transfer duties for a family-business transfer, subject to holding-period commitments. The 2027 Finance Act is considering extending the commitment period from 6 to 8 years.
Euro fundsA life-insurance vehicle where capital is guaranteed by the insurer. Low return (~2.5%/year) but near-zero risk.
Track recordA firm's history of realized performance on its past products. UHNW clients' #1 decision criterion.
Solvency II / solvency ratioA European prudential standard measuring an insurer's ability to honor its commitments in a crisis. The higher the ratio, the stronger the insurer.
Codex concepts (the EQΦS (EQPhiS) Asia engine)
TermDefinition
Λ LambdaThe firm's overall strategic viability score. A single number between 0 and 1+ that summarizes the whole analysis. The higher it is, the stronger the firm. [Wealth management firm] stands at 0.773 today, and could reach 0.908 within 36 months.
The 12 dimensionsThe 12 axes on which the firm is scored: expected return, volatility, liquidity, rate sensitivity, geopolitical sensitivity, inflation, stock-market decorrelation, bubble risk, taxation, horizon, transparency, capital protection.
R_SWOTThe ratio between strategic resources (strengths + opportunities) and constraints (weaknesses + threats). Above 1.5 = a favorable position. [Wealth management firm] stands at 2.13.
Fear IndexThe overall level of sector threats weighing on the firm. Below 0.50 = a moderate level. [Wealth management firm] stands at 0.413.
Module M5 — EmergenceA model measuring the firm's growth trajectory (families captured per year, the saturation curve).
Module M6 — ResonanceA model measuring how much the firm's pitch "resonates" with 2026 market expectations.
Module M13 — ProbabilitiesA model calculating the probability of each scenario for the firm's evolution at 36 months (status quo, the MFO pivot, MFO + Luxembourg).
Module M19 — ResilienceA model measuring the firm's capacity to absorb shocks (a geopolitical crisis, a co-founder's departure, a scandal).
Module M33 — AnticipationA model projecting the impact of major macroeconomic waves (the €9,000 bn wealth-transfer wave).
Module M_lifecycleA model measuring where the firm sits in its life cycle: a pure-growth phase, maturity, pre-saturation, or peak.
Operator [Alignment Operator]Measures the alignment between the firm's sales pitch (intent) and observable material evidence (reality). For [Wealth management firm]: 0.76 currently, could reach 0.90.
Operator [Duality Operator]Measures the tension between two opposing poles (short term / long term, liquid / illiquid, France / international).
Operator [Reinvestment Operator]Measures the firm's capacity to reinvest its cash flows into its own growth (R&D, team, technology).
EQΦS (phi, the golden ratio)The mathematical constant 1.618033..., used as a universal reference within the Codex φ to measure proportions and thresholds.
Codex Universalis φ EQΦS v3.1The complete theoretical mathematical framework underlying the EQΦS (EQPhiS) Asia method.