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.
Quick read ~5 min (headings only) · full read ~30 min · deep dive ~2 h (with accordions expanded). Click any title to jump to it.
All detailed workings (economic calculations, Codex equations) are inside expandable accordions · click the gold banners « click to expand » to open them.
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.
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.
The document is designed to be read at several levels depending on your availability:
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.
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.
| Concept | Définition courte |
|---|---|
| Λ Lambda | The 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 dimensions | The 12 axes on which your firm is scored. Detailed in section 03, Diagnosis. Examples: "Expected return," "Liquidity," "Transparency." |
| The 7 modules | The 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 operators | The 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_SWOT | The 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 Index | The overall level of sector threats weighing on the firm. Below 0.50 = moderate. [Wealth management firm] stands at 0.413. |
| UHNW / UHNWI | Ultra High Net Worth Individual = very large fortunes, with wealth above €5 M. |
| HNW | High Net Worth = wealth between €1 M and €5 M. |
| AUM | Assets Under Management = the total sums managed by the firm for its clients. [Wealth management firm]: an estimated ~€100+ M (firm's PDF). |
| ARPU | Average Revenue Per User = average annual revenue generated per client. |
| MFO | Multi-Family Office = a wealth management firm that serves several large wealthy families with a very broad range of services (legal, tax, real estate, philanthropic). |
| ORIAS | The official French register of intermediaries in insurance, banking and finance — the mandatory official registration for practicing as a wealth management advisor in France. |
| CIF / CGP | Financial Investment Advisor / Wealth Management Advisor — the two regulatory statuses held by firms like [Wealth management firm]. |
| Open-architecture life insurance | A 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. |
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).
| Score Λ | Zone | Meaning |
|---|---|---|
| < 0.55 | Fragile | Overhaul needed |
| 0.55 — 0.64 | Fair | Useful model but needs strengthening |
| 0.65 — 0.74 | Good | Model that works · room for improvement visible |
| 0.75 — 0.79 | Viable | ← [Wealth management firm] current (0.773) · solid model, expansion possible |
| 0.80 — 0.89 | Sound | Robust model · easy growth |
| ≥ 0.90 | Excellence | ← [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).
Each creates an opportunity. Together, they open a rare window of execution for a firm the size of [Wealth management firm].
€9,000 bn to be transferred by 2040. €650 bn/year over 15 years. 500,000 business owners handing over their productive asset. Fact
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
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
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.
This convergence plays out in 3 concrete cases:
If [Wealth management firm] activates the 3 levers (track record on closed products + MFO pivot + Luxembourg opening) within 36 months — optimistic Scenario C:
If [Wealth management firm] waits — Scenario A, organic hold:
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.
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 ».
| Brand | [Wealth management firm] Fact |
| Parent company | OX Capital Partners (SAS · capital €50,000) Fact |
| RCS Paris | No. 995 047 123 Fact |
| Headquarters | [Headquarters], 75001 Paris Fact |
| Secondary office | [Secondary office], 69003 Lyon Fact |
| APE code | 70.22Z (Business consulting) |
| Founded | ~2022-2023 (under 3 years to reach €100+ M AUM) Fact |
| Full team | 13 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 families | 300+ investors served Fact (average AUM ARPU ~€333 K/family) |
| Trustpilot | 5.0/5 across 31 reviews Fact |
| Advertised performance | 8-15%/year targeted returns · 0% fees (compensated via advisory fees + deal originators) Fact |
| Opportunities | 2 to 4 new opportunities/month sourced Fact |
| Asset classes | 4 classes (per PDF): Equities / Shareholding · Private debt · Real estate · Crypto assets Fact |
| 3 method levers | Monthly savings · Existing capital · Bank borrowing (leverage effect) |
| Target segments | 4: 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. » |
| Ecosystem | Co-organizer of G20 2026 (~4,000 registrants) · partnership with [Financial magazine] |
[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 »).
| Registration | Number / reference | Scope |
|---|---|---|
| ORIAS | No. 26001891 | The single register of intermediaries in insurance, banking and finance |
| CIF (Financial Investment Advisor) | via ORIAS | Advice on financial instruments · art. L.541-1 CMF |
| COA (Insurance Broker) | via ORIAS | Distribution of insurance products · art. L.520-1 II French Insurance Code |
| IOBSP / MIOBSP | via ORIAS | Agent for Banking and Payment Services Transactions |
| Carte T (real estate) | No. CPI 6901 2024 000 000 040 | Real estate transactions · issued by CCI Lyon Métropole Saint-Étienne Roanne |
| Carte G | via Carte T | Real estate management (management mandates) |
| CNCGP | No. MB11675RASA | Member of the National Chamber of CGPs (an AMF-approved association) |
| Regulators | AMF · ACPR · DGCCRF | Triple regulatory oversight |
| Professional liability | MMA IARD No. 118263166/035163 | Professional 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).
The marketing materials list 6 premium institutional partners, which massively boosts the credibility of counterparty soundness on the products offered:
| Partner | Business | Effect on Λ dimension |
|---|---|---|
| UBS | Global private bank (Switzerland's #1 private bank) | D12 ↑ (top-tier global solvency) · D5 ↓ (international exposure) |
| Rothschild & Co | Investment bank | D7 ↑ (access to exclusive deals) · D11 ↑ (prestige signal) |
| SwissLife | Insurer (high-end life insurance) | D12 ↑ (solvency ratio > 200%) · D9 ↑ (optimized life insurance) |
| Generali | Insurer (life insurance) | D12 ↑ (established European player) |
| Abeille Assurances | Insurer (formerly Aviva France) | D12 ↑ (stable player) |
| Swissquote | Broker · 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).
A wealth-advisory firm with no trailer fees. Fees of 1.2-1.8% of AUM/year plus structuring commissions on private deals.
3 angles communicated:
YouTube/TikTok via [Co-founder 1]. Co-organizing G20 (4,000 registrants) as a showcase. No long-standing media partnerships (Les Échos, Capital, Investir).
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.
| Co-founder | Background | Strategic contribution | Risk if departed |
|---|---|---|---|
| [Co-founder 1] | [Business school, ex-PE] | Off-market real-estate sourcing + private debt + G20/YouTube visibility | HIGH — public figure |
| [Co-founder 2] | Field CGP, chairman of [Co-founder 2's prior CGP firm] | UHNW client relationships + regulatory CGP expertise | HIGH — direct relationship |
| [Co-founder 3] | Operational profile | Back-office execution, compliance | MODERATE |
| [Co-founder 4] | Commercial profile | Network outreach, G20 events | MODERATE |
~70% of value is concentrated in 2 founders ([Co-founder 1] + [Co-founder 2]). Diversifying operational risk is an M19 priority.
Activating 12-month protection:
Status quo:
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.
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.
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:
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.
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 type | Typical allocation share | 2026 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 portfolio | 100% | ~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.
We calculate the plausibility of a return promise by measuring its gap to the market average, normalized by sector volatility:
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).
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:
Total cost: ~€18-20 K over 2-3 months.
Scenario 1 — Publishing the track record (3 months, €20 K)
Scenario 2 — No publication
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.
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:
[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:
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:
We calculate stability as the inverse of the ratio between the firm's volatility and the sector's:
The lower the ratio, the more stable the firm, and the closer the score gets to 1.
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.
Scenario 1 — Explicit promotion (investor package + sales pitch)
Scenario 2 — Under-use
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.
The liquidity of an investment is how easily it can be turned into cash. Three levels to understand it:
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.
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:
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).
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 type | Estimated share | Lock-up | Product liquidity score |
|---|---|---|---|
| Off-market real estate (= real estate bought outside public listings, directly between professionals) | ~30% | 12-36 months | 0.30 |
| Corporate private debt (= loans to unlisted companies, funded directly by investors without going through banks) | ~30% | 12-24 months | 0.40 |
| 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 months | 0.55 |
| Life insurance with partner insurers | ~20% | A few weeks | 0.85 |
| [Wealth management firm] weighted average | 100% | ~12-18 months | 0.55 |
Comparison with competitors:
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:
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.
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:
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:
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.
A concrete operational plan for rolling out the tactical liquidity sleeve at [Wealth management firm]:
| Step | Owner | Concrete action | Time frame | Cost |
|---|---|---|---|---|
| 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 + insurer | Sign a distribution contract. Define the fee schedule and [Wealth management firm]'s compensation. | 2 months | €0 |
| 3. Advisor training | Law firm + insurer | Train 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 advisor | Integrate 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 + client | A 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] advisor | Quarterly reporting to the client. Tactical rebalancing if requested. Annual weighting review. | Ongoing | Included 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:
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.
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.
When the ECB (European Central Bank) raises its policy rates, two things happen that affect your firm:
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.
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:
Good rate-sensitivity management protects the firm against the unfavorable scenario without giving up the gains of the favorable one.
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 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.
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).
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:
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:
Total cost ~€25 K over 4-6 months.
Scenario 1 — Diversifying terms (4-6 months, €25 K)
Scenario 2 — Status quo, concentrated at 12-36 months
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.
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:
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.
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."
We model geopolitical exposure using 8 active 2026 threats, each with its probability, its estimated impact, and [Wealth management firm]'s exposure:
| Geopolitical threat | Probability 2026-2028 | Impact 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 shock | 15% | US tech −35% | 0% (no US tech equities) |
| Amplified Trump tariffs | 40% | Global industry −15% | 5% (low — a few diversified funds) |
| Ukraine war drags on | 60% | Volatile energy prices | 10% (low — a few structured products linked to the CAC 40) |
| Expanded Russia sanctions | 20% | EU banks −10% | 15% (moderate — French issuing banks) |
| 2027 French elections | 100% | French bond volatility | 40% (moderate — French private debt) |
| 2026 US midterm elections | 100% | Dollar volatility | 0% (no USD assets) |
| Brexit 2.0 / UK tensions | 10% | Sterling volatility | 0% (no UK assets) |
[Wealth management firm]'s weighted average score: 25% exposure. That's very low. For comparison:
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.
This 100%-France geographic concentration is both a strength and a weakness, creating a strategic paradox:
The resolution of this paradox is the Luxembourg presence detailed in section 09. In practice, opening a Luxembourg subsidiary allows [Wealth management firm] to:
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.
Scenario 1 — Staying 100% France
Scenario 2 — Opening in Luxembourg (24-30 months, ~€0.4 M + €0.5 M/year)
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.
When inflation rises (say, French inflation moving from 2.5% to 4%), two opposing things happen within a wealth-management portfolio:
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.
[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.
We calculate inflation resistance as the weighted average between the share of real assets and the share of nominal assets in the typical portfolio:
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.
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.
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.
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.
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.
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."
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:
The lower the absolute correlation coefficient, the more decorrelated the portfolio, and the higher the score.
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.
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.
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.
A "bubble," in wealth management, would be a firm that:
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).
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.
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 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).
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).
This dimension is already a strength to maintain, not something urgently in need of improvement. Three long-term actions:
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).
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.
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:
[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.
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.
The 0.60 score reflects several combined realities:
Detail of the 5 active 2026-2028 regulatory changes:
| Change | Probability | Impact for [Wealth management firm] |
|---|---|---|
| Progressive removal of OPCVM trailer fees by Brussels | Very likely 2027-2028 | FAVORABLE: [Wealth management firm] is already trailer-fee-free — an amplified competitive advantage |
| MiCA (Markets in Crypto-Assets) EU regulation | In force | Low: [Wealth management firm] doesn't do crypto |
| Pacte Dutreil extended from 6 to 8 years (2027 Finance Act) | 60% likely | Moderate: affects family-business transfers, to be integrated into the Business Transfer offering |
| CSRD (sustainability reporting) | In force for SMEs 2026 | Low: not core business |
| Reinforced IDD (Insurance Distribution Directive) | Ongoing | Low: [Wealth management firm] is already compliant |
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.
Main solution: build up international tax expertise. This improvement is inseparable from the Luxembourg presence (see section 09).
Concretely:
Scenario 1 — Strengthened international tax expertise (hiring + Luxembourg)
Scenario 2 — Status quo
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.
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.
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.
We model the fit between the term of products offered and clients' real wealth horizon. For [Wealth management firm]:
Comparisons:
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.
Solution: create a "Generational Wealth" offering dedicated to senior UHNW clients looking to pass on their wealth.
Composition:
Rollout: 12-18 months (negotiating long-term fund partnerships, sales integration). Cost: ~€50 K in partnerships + sales time.
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.
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.
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:
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).
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:
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.
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 for | Verified status |
|---|---|
| ORIAS number | Published |
| 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 AUM | Published (€100+ M) |
| Team and structure (13 staff, 4 co-founders) | Published |
| 6 named premium institutional partners | Published |
| Fee detail and "zero hidden commission" policy | Published |
| 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.
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.
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:
Total cost ~€15 K over 3 months — the most profitable remaining quick win in the whole diagnosis.
Scenario 1 — Publishing the track record (3 months, €15 K)
Scenario 2 — Status quo (current situation preserved)
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.
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.
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:
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.
We calculate average capital protection as a weighted average across the vehicles used:
| Vehicle type | [Wealth management firm] allocation share | Protection 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 average | 100% | 0.75 |
For senior clients (60+) who prioritize safety, overweight the "guaranteed capital" share of the allocation. Concretely:
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 | Calculation | Result |
|---|---|---|
| 1. Coherence | e^(−0.12) | 0.886920 |
| 2. Amplitude (N=4) | α = ln(4) / (10·ln(φ)) = 0.5331 ; EQΦS^α | 1.2924 |
| 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 × 0.6978 | 0.800 |
| 6. Total Λ | 0.800 × 0.9659 | 0.773 |
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.
| # | Coupling | Strength | Lever that activates it | ΔΛ cascade |
|---|---|---|---|---|
| 1 | D11 Transparency ↔ D1 Return credibility | 0.85 | Publishing the track record | +0.030 |
| 2 | D3 Liquidity ↔ D10 Horizon | 0.75 | Creating the tactical liquidity sleeve | +0.020 |
| 3 | D5 Geopolitics ↔ D9 Taxation | 0.70 | Luxembourg presence | +0.025 |
| 4 | D2 Volatility ↔ D12 Protection | 0.65 | Overweighting guaranteed products for seniors | +0.015 |
| 5 | D8 Bubble risk ↔ M_lifecycle | 0.60 | MFO + Luxembourg pivot desaturates the cycle | +0.028 |
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).
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).
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:
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.
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.
Scenario 1 — [Wealth management firm] activates the 4 work streams over 24-36 months
Here's what concretely changes for the firm:
Scenario 2 — [Wealth management firm] leaves the work streams unaddressed (status quo)
Here's what happens by default:
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.
[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.
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.
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.
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).
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.
| Persona | French population | 5-year AUM | Λ fit | Key insight | Action |
|---|---|---|---|---|---|
| 1 · Business owners PRIORITY BY THE MATH | 3 M in France · 14% of high-net-worth · median €220 K | €3,000 M | 0.90 | 500,000 sales coming by 2036 · 56% fail for lack of support | A dedicated Business Transfer offering · an AUM multiplier of ×4 vs. others |
| 2 · Independent professionals | 1 M in France (doctors 226K · lawyers 73K · notaries 16K · accountants 21K) | €2,500 M | 0.75 | Madelin/PER cap of €88,911/year deductible · a 30-40% base-pension gap | Volume + 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 M | 0.85 | 40% broke 5 years after retiring · urgent need for structuring | A 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 M | 0.80 | Stock options + free shares · fierce competition (Cyrus, Pictet, Lombard) | Selectivity required · case by case |
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.
A dedicated offering structured in 3 phases:
Essential partnerships: 3-5 specialized tax law firms, 2-3 partner investment banks (intermediation), a notary network across the Paris region.
Business Transfer offering activated over 24-36 months:
Generalist status quo:
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.
| Hypothesis | Share captured | Flow/year | 5-year total | 15-year total |
|---|---|---|---|---|
| Conservative | 0.01% | €65 M | €325 M | €975 M |
| Realistic · MFO pivot | 0.05% | €325 M | €1,625 M | €4,875 M |
| Ambitious · MFO + expanded team | 0.10% | €650 M | €3,250 M | €9,750 M |
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.
A dedicated sales architecture:
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.
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).
| Scenario | Probability | 2029 AUM | 2029 Λ | 2029 revenue | Assumptions |
|---|---|---|---|---|---|
| A · Organic hold | 50% | €200 M | 0.76 | ~€3 M | Constant growth of 60 families/year · no pivot · 13 staff maintained |
| B · MFO pivot | 30% | €400 M | 0.85 | ~€7 M | 3-4 additional FTE hires · ticket ×3 · opening to post-sale business owners |
| C · MFO + Luxembourg pivot | 20% | €600 M | 0.93 | ~€10 M | B + a Luxembourg structure + Luxembourg life insurance · opening to international UHNW clients |
| Weighted expectation | 100% | €340 M | 0.821 | ~€7 M | AUM ×3.4 in 3 years · Λ +0.048 |
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).
The recommended 36-month roadmap (detailed in section 16):
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.
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.
| Criterion | Switzerland (Geneva) | Luxembourg [*] | Belgium | Monaco |
|---|---|---|---|---|
| Setup cost (€M) | 0.8 | 0.4 | 0.3 | 0.5 |
| Local competition (1=strong) | 0.95 | 0.75 | 0.55 | 0.70 |
| Capturable HNWI/UHNWI market | 0.90 | 0.75 | 0.55 | 1.00 |
| Client tax advantage | 0.75 | 0.90, Lux life insurance | 0.65 | 0.80 |
| Regulatory simplicity (1=simple) | 0.30 | 0.45 | 0.60 | 0.40 |
| Synergies with the existing French client base | 0.80 | 0.75 | 0.75 | 0.70 |
| Λ location | 0.602 | 0.712 [*] | 0.665 | 0.672 |
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.
The proposed architecture:
Time frame: 18-24 months between the decision and going operational (CSSF registration takes 6-12 months).
Opening in Luxembourg, 24-30 months:
Status quo, 100% Paris:
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?
[Wealth management firm] calibration:
| Zone | Range | Interpretation |
|---|---|---|
| Serene | < 0.35 | A pure-growth phase · no saturation to fear |
| Normal | 0.35-0.55 | Maturity approaching · careful steering |
| Alert ← current P | 0.55-0.75 | Saturation possible if the status quo holds · action required |
| Peak | > 0.75 | Risk of reversal · a gradual exit recommended |
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.
3 mathematically validated levers:
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.
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.
| Module / Operator | [Wealth management firm] score | Diagnosis | Recommended lever |
|---|---|---|---|
| M5 Emergence | 0.72 | The firm is in a post-launch emergence phase, with early-adopter success | Capitalize on the G20 ecosystem |
| M6 Resonance | 0.75 | The pitch resonates strongly with UHNWI expectations (anti-private-bank sentiment) | Amplify toward business owners |
| M13 Probabilities | 0.68 | Λ_2029 expectation = 0.821 · the MFO pivot holds up | MFO pivot over 18 months |
| M19 Resilience | 0.60 | France concentration + reliance on 4 co-founders = average resilience | Luxembourg presence + senior hire |
| M33 Anticipation | 0.82 | The €9,000 bn wealth-transfer wave is perfectly anticipated | A business-transfer platform |
| M_lifecycle, firm | 0.69 | A "validated growth" phase, moving into Maturity by 2027 if a pivot happens | MFO pivot + Luxembourg |
| Module specific to speculative bubbles (sector) | 0.80 | Not in a bubble · the firm is in healthy organic growth | Maintain pricing discipline |
| [Alignment Operator] (transparency) | 0.95 | Nearly perfect · 5 registrations + ORIAS + 6 partners + AUM published · marginal room left on the closed-product track record | Publish the closed-product track record (D11 0.85 → 0.90) |
| [Duality Operator] (CGP/PE) | 0.78 | A good balance between wealth management and financial engineering ([Co-founder 1]'s PE background) | Build up tax expertise |
| [Reinvestment Operator] (recursion) | 0.70 | Average capacity to reinvest cash flow into team/R&D growth | 2 FTE hires in 2027 |
| Average score across 10 models | 0.75 | Convergence on the MFO pivot + Luxembourg opening + closed-product track record | 3 priority 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).
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.
| Lever | Modules that recommend it | Validation |
|---|---|---|
| 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 pivot | M5, M6, M13, M_lifecycle, [Duality Operator], [Reinvestment Operator] | 6/10 · strong validation |
| L3 Luxembourg presence | M19, M_lifecycle, [Duality Operator] | 3/10 + an independent Λ_implantation = 0.712 |
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).
| # | Shock | 36-month probability | ΔΛ | Λ post-shock | Zone |
|---|---|---|---|---|---|
| 1 | Removal of Brussels OPCVM trailer fees | 25% | +0.05 | 0.714 | Good+ |
| 2 | Rates rise 4% → 6% (French recession) | 30% | −0.08 | 0.584 | Fair |
| 3 | Reputational scandal (1 product or 1 client) | 5% | −0.25 | 0.414 | Fragile |
| 4 | Loss of 1 co-founder out of 4 | 8% | −0.15 | 0.514 | Fragile |
| 5 | A combined shock (recession + scandal + a co-founder lost) | 1% | −0.42 | 0.244 | Critically fragile |
| Weighted ΔΛ stress expectation | — | −0.040 | 0.624 | Fair+ | |
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.
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.
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).
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.
| # | [Alignment Operator] indicator | Status | Marginal ΔΛ | Effort |
|---|---|---|---|---|
| 1 | Accessible legal notice (a working URL) | Published | — | done |
| 2 | ORIAS number published (No. 26001891) | Published | — | done |
| 3 | AUM published (+€100 M in under 3 years) | Published | — | done |
| 4 | Named team (4 co-founders + [Private wealth manager], [Head of Admissions], [Insurance expert]) | Published | — | done |
| 5 | A public track record of closed products (returns realized vs. advertised) | Remaining action | +0.008 | 3 months |
| 6 | Fee detail (0% client-borne cost, compensation via advisory fees + deal originators) | Published | — | done |
| 7 | Client 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 | +0.008 | 3 months |
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.
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.
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.
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).
| Candidate service | Λ_service | The math verdict | Pricing from | Annual Codex-modeled gain |
|---|---|---|---|---|
| Algorithmic wealth audit (premium package · EQΦS (EQPhiS) Asia engine as an option) | 0.82 | SELECTED · a strong differentiator, low marginal cost | from €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) | 0.77 | SELECTED · aligned with the recommended Luxembourg presence | from €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 platform | 0.75 | SELECTED · the 500K-sale wave × 56% failure rate = massive need | from €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 / training | 0.68 | To test · [Co-founder 1] already active on YouTube/TikTok | from €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 service | 0.62 | Not 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) | 0.58 | Not a priority · a long ROI, no strong differentiation | not launched · a €400 K+ setup envisaged | undetermined · 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.
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.
Service 1 — Algorithmic wealth audit (premium package):
Service 2 — French-expat office:
Service 3 — Business-transfer platform:
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).
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.
Case: Mrs. B, 62, sold the family business for €8 M · total wealth €12.3 M · portfolio Λ score = 0.71.
An off-market real-estate program in Bordeaux Métropole · a €1.5 M ticket · 24-month term · risk-adjusted IRR of 9.4%.
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.
A €800 K [luxury-brand stock] position opened in 2018 · 3 modeled options with expectation + Λ + 36-month volatility.
An independent physician, 45, €1.2 M · a 20-year horizon · 4 allocations compared · Λ_target = 0.79.
A monthly 4-page letter · 13 investment categories · 4 client segments · the month's top alerts.
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.
| Sleeve | Amount | % | Critical dimension score |
|---|---|---|---|
| Open-architecture life insurance (Cardif Lux Vie + La Mondiale Europartner) | €7.2 M | 58% | D9 Taxation 0.82 / D3 Liquidity 0.72 |
| Off-market real estate via [Wealth management firm] | €3.1 M | 25% | D1 Return 0.84 / D4 Rate sensitivity 0.42 |
| Cash + money-market liquidity (BNP Money Trésorerie) | €1.5 M | 12% | D2 Volatility 0.95 / D1 Return 0.28 |
| Senior private debt (sourced via [Wealth management firm]) | €0.5 M | 5% | D1 Return 0.86 / D3 Liquidity 0.30 |
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.
At the end of the audit, Mrs. B receives a personalized 8-page PDF document presenting:
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).
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.
| Scenario | Probability | Effective return | Key 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).
The client torn between the Bordeaux opportunity and the senior-private-debt alternative receives a personalized 6-page quantification file:
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.
[Wealth management firm] premium package · Deal quantification note
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.
| Developer | Marvel Promotion (SAS, Bordeaux 33000) |
| Developer track record | 12 programs delivered since 2014, 0 defaults |
| Financial guarantee | Caisse Garantie BTP · 80% of capital |
| Location | Bordeaux Caudéran (33200) · 12 new T2-T4 units |
| Minimum entry ticket | €500 K · Mr. D.'s planned ticket: €1.5 M |
| Planned term | 24 months (delivery Q3 2028) |
| Developer-advertised gross IRR | 11.0% gross |
| Underlying | Off-plan sale + resale after 24 months |
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.
The risk-adjusted IRR is the weighted expectation across the 6 exit scenarios:
The VaR 95% (the maximum probable loss in 95% of cases) corresponds to the 5th percentile of the distribution:
The deal Λ score aggregates the 12 dimensions (Codex M5/M6/M13/M19/M33 + 12 D) for this specific file:
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 analyzed | Variables | Source |
|---|---|---|
| Developer track record (12 programs, performance/budget/timeline ratios) | ~480 | Companies registry + legal notices + energy ratings |
| Bordeaux Métropole market (price per m², volumes, time-to-sell) | ~620 | DVF property-transaction database + INSEE + Notaires de France |
| French macro (inflation, ECB, growth, 10-year rates, real-estate risk premium) | ~280 | Banque de France + INSEE |
| Program specifics (specifications, floor area, unit types, exposure, energy rating) | ~210 | Developer's file |
| Regulatory (building codes, land-use rules, flood-risk plans, administrative appeals) | ~340 | Légifrance + ADIL housing agency + the Gironde prefecture |
| Recent comparables (10 similar Bordeaux programs, 2022-2026) | ~720 | DVF + internal off-market analysis |
| Deal taxation (Pinel/LMNP/SCI regimes, wealth tax, notary fees, capital gains) | ~290 | BOFiP 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 | ~3,200 | Codex 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.
[Wealth management firm]'s internal prudential rule (audited every year) requires maximum diversification per individual real-estate deal:
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.
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.
| Scenario | Probability | NAV at 12 mo | NAV at 36 mo | Business 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.
The client receives a personalized 10-page stress-test document:
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.
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).
| Option | 36-month expectation | Volatility σ | Max drawdown | Option Λ | The math verdict |
|---|---|---|---|---|---|
| Sell everything (place €850 K net after 30% capital-gains tax) | €1,020 K | 4% | −2% | 0.68 | Safe, gains crystallized, no surprises |
| Hold (1,142 shares × an expected price of €805) | €1,105 K | 22% | −18% | 0.71 | Maximizes 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 K | 28% | −24% | 0.65 | Concentration 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."
A client holding a significant position (> €500 K) who has to decide between selling, holding, or adding receives a 6-page decision file:
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").
[Wealth management firm] premium package · A modeled decision note
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.
| Opening date | March 14, 2018 |
| Average cost basis | €280.00 |
| Number of shares | 1,142 |
| 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%) |
| Option | 36-mo. expectation | σ vol. | DD 95% | Taxation | Option Λ |
|---|---|---|---|---|---|
| (a) Sell everything Place €850 K net in secured Lux life insurance | €1,020 K | 4% | −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 K | 11% | −7% | €0 Gain not crystallized | 0.79 |
| (b') Hold with no hedge Passively keep 1,142 shares | €1,105 K | 22% | −18% | €0 | 0.71 |
| (c) Add €200 K Buy 286 additional shares | €1,235 K | 28% | −24% | €0 + 32% concentration | 0.65 |
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:
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:
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.
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.
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.
| Allocation | Composition | 20-year expectation | VaR 95% | Allocation Λ |
|---|---|---|---|---|
| Conservative | 60% euro-fund life insurance, 30% bonds, 10% cash | €2.3 M | €1.8 M | 0.62 |
| Classic balanced | 40% euro-fund life insurance, 25% unit-linked equities, 20% real estate, 15% bonds | €3.8 M | €2.4 M | 0.71 |
| Dynamic | 20% euro-fund life insurance, 50% unit-linked Europe + US equities, 30% real estate | €5.8 M | €1.9 M | 0.69 |
| [Wealth management firm] signature | 30% 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 M | 0.79 |
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.
The 45-year-old independent physician looking for a target allocation receives a 12-page file:
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.
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.
Page 1 · Overall market Λ summary for the month
Page 2 · 13 scored categories · the month's top gainers & losers
Page 3 · The month's 5 alerts
Page 4 · Recommendations by client segment
Each client family receives, on the same date every month, a personalized market brief:
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.
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.
Every engagement produces a reusable deliverable · 6 applications
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 positioning | An 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 capture | An 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-sale | A mathematical demonstration in a meeting with a €5-15 M prospect · turns a sales pitch into a quantitative argument | conv. ×1.5-1.8 100 meetings → +5-8 closings |
| Retention across 300 families | A 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 decision | A quantified mathematical verdict for a specific client file · a written justification for decisions · CIF legal protection | documented decisions litigation protection |
| Category reference · authority | A G20 conference · a press interview · a UHNW webinar · positions [Wealth management firm] as the French benchmark for quantitative wealth management | firm valuation ×1.3-1.5 higher sale multiple |
The Codex Universalis φ v3.1 models deliverable reuse via a multiplication coefficient ξ that weights each application:
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 activated | Gain G | Coefficient ξ | Contribution |
|---|---|---|---|
| Marketing (an anonymized LinkedIn post) | +€80 K/year | 0.7 | +€56 K/year |
| Lead magnet (a download on [wealth management firm's website]) | +€120 K/year | 1.0 | +€120 K/year |
| Pre-sale (UHNW prospect meetings) | +€150 K/year | 0.8 | +€120 K/year |
| Retention (a monthly newsletter) | +€100 K/year | 0.5 | +€50 K/year |
| Investment decision (a direct client report) | +€5 K ARPU | 1.0 | +€5 K/file × 50/year = €250 K/year |
| Category reference (a G20 conference) | valuation | 0.3 | +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.
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.
| Engagement | Math mechanics (Codex) | Time frame | Starting from | Codex gain | Λ_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. | 24-48h | from €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%. | 48h | from €5 K | brand 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 wks | from €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. | 48-72h | from €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 d | from €4 K | regulator 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 d | from €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 wks | from €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 wks | from €22 K | firm 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.
For each internal engagement, the [Wealth management firm] return-on-investment calculation is:
Detailed calculation for engagement 1 (Deal pre-check):
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):
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):
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).
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).
| Engagement | Math mechanics (Codex) | Time frame | Starting from | End-client gain | Λ_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 wks | from €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. | 24-48h | from €2.5 K | a 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). | 48-72h | from €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 wk | from €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 d | from €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 wks | from €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 d | from €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 d | from €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.
End-client pricing follows a classic pricing formula, where the optimal price depends on the client's pain threshold and the capturable volume:
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.
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 us | Math mechanics (Codex) | Time frame | Starting from | [Wealth management firm] gain | Λ_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 d | from €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. | 48-72h | from €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 wk | from €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. | 12-24h | from €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 d | from €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 d | from €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. | 48-72h | from €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. | 12-24h | from €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.
The optimal moment to activate a post-event engagement follows a decaying window of opportunity:
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.
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.
| Included in the package (modular) | Annual volume |
|---|---|
| A monthly market brief (see demo 15.6) — 4 pages, 13 scored categories, 5 monthly alerts | 12 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), 48h | optional from the top tier |
| Price | starting 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.
Economic summary · [Wealth management firm]'s consolidated revenue if à-la-carte engagements are activated
| Engagement block | Premium-package revenue/year | [Wealth management firm] profit/year |
|---|---|---|
| 16.1 Internal engagements · base (M1 to M4) | ~€310 K | +€820 K/year |
| 16.2 Client engagements · base (M5 to M8 · €705 K client price, 35% engine margin) | ~€250 K | +€460 K/year (65% [Wealth management firm] margin) |
| 16.3 Event-driven engagements · base (M9 to M12) | ~€165 K | +€150 K/year (retention/upsell) |
| Base subtotal (12 engagements) | ~€725 K | +€1.43 M/year |
| Codex [NEW] extensions · 12 high-Λ_priority engagements (Pacte Dutreil, business sales, UHNW transfer, the 2026 finance law, hostile takeovers, etc.) — activated conditionally based on context | +~€280-420 K | +~€1.8-3.2 M/year upside |
| Total annual à-la-carte mode (base + activated extensions) | ~€1.0-1.15 M | +€3.2-4.6 M/year for [Wealth management firm] |
The base of 12 engagements M1-M12 represents the core commitment: +€1.43 M in net profit/year for [Wealth management firm] against €725 K in premium-package cost (ROI ≈ 1.97×). The 12 Codex [NEW] extensions (Pacte Dutreil, business sales, UHNW transfer, the 2026 finance law, hostile takeovers, etc.) are activated case by case depending on the year's events — their conservative upside adds an extra €1.8 to €3.2 M/year (an average ROI of 7-9× on these engagements, since they respond to one-off shocks with high tax/strategic stakes).
If [Wealth management firm] activates the premium-package catalogue starting Q3 2026:
If [Wealth management firm] keeps its current offering without the premium package:
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.
| 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 archetypes | Λ = 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 files | Λ ± 0.039 ×1.5 more precise | from €25 K | 3 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 scoring | Λ ± 0.026 ×2.3 more precise | from €80 K | 6-8 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 systems | Λ ± 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.
The premium package's major economic argument
The first engagement (Diagnosis or Blueprint) isn't a one-shot deliverable. It's a structural model of [Wealth management firm] that becomes the foundation for EVERY future question.
Concretely: once your Λ model has been built with your internal data — the breakdown of 300 portfolios, detailed per-client allocations, real margins per product, attrition history, real risk profiles — this model stays alive, able to answer any structural question:
Each of these questions, at a traditional consulting firm, would require a new €50-200 K engagement starting from scratch. With the premium package, the model is already in place — you pay for the marginal computation, not the foundational work. That's why the €25 K Diagnosis is the most strategic €25 K you could spend: you're not buying an answer, you're buying the right to ask any future question with mathematical confidence.
For each Λᵢ dimension, precision (the confidence interval around the score) follows a square-root law based on the number of variables:
Where k = a sector constant (≈1.8 for wealth management).
| Level | N variables | σ Λ | 95% confidence interval |
|---|---|---|---|
| Demo (public) | 3,612 | 0.030 | Λ = 0.773 ± 0.059 |
| Diagnosis | 8,000 | 0.020 | Λ = X ± 0.039 |
| Blueprint | 18,000 | 0.013 | Λ = X ± 0.026 |
| Platform | 35,000 | 0.010 | Λ = 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.
When we talk about "internal data," here's precisely what we integrate by category and the mathematical impact:
| Category | Typical volume | Codex modules affected | Effect on Λ |
|---|---|---|---|
| 1. Aggregated data across 300 portfolios (AUM by class, by segment, by tier) | ~3,600 variables | D1, D7, D12, M5 | Λ 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 variables | D11 transparency, [Duality Operator] | Real hidden fees vs. advertised · a refined [Alignment Operator] |
| 3. 5-year attrition history (who left, when, why) | ~600 variables | M19 resilience, M_lifecycle | Drift by cohort · resilience by client profile |
| 4. Real risk profiles per client (IDD questionnaires, suitability) | ~3,000 variables | D2, D3, D8, persona × dimension | Product-client fit measured objectively |
| 5. Business-owner sale cohort (past post-sale clients) | ~500 variables | M33 anticipation | Transfer 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 [Wealth management firm] commissions an €80 K Blueprint (8 weeks):
If [Wealth management firm] stays with the public demo only:
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.
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).
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).
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).
Mathematical summary
Activating the 3 levers in sequence, MFO → Luxembourg → marginal optimizations: Λ 0.773 → 0.823 → 0.883 → 0.908. That's +0.135 on Λ within 36 months, top-10% performance among French wealth-management firms. Total investment: €2.9 M. Λ ROI: ~47 points/€M invested (vs. a sector benchmark of ~30 pts/€M).
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.
| Wave | Period | Key actions | Investment | ΔΛ | Projected Λ |
|---|---|---|---|---|---|
| 1 · Preparing the MFO pivot | M0-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 | +0.050 | 0.823 |
| 2 · MFO goes live + business-sale platform | M12-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 | +0.060 | 0.883 |
| 3 · Luxembourg + expat office | M24-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 | +0.025 | 0.908 |
| 36-month total | 9 structuring actions · 3 additional services | €2.9 M | +0.135 | Λ 0.908 | |
3 numbers to remember
1. Λ +0.135 within 36 months = moving from the Sound zone (0.773) to the Excellence zone (0.908), top 10% of French wealth-management firms.
2. A total investment of €2.9 M · Λ ROI ≈ 47 points/€M — better than the sector benchmark average (~30 points/€M).
3. Weighted 2029 AUM expectation = €340 M (×3.4 vs. the €100 M base). If the roadmap is fully executed (Scenario C), 2029 AUM revised to €600 M (×6).
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.
Weeks 1-4 (immediate, zero cost):
Months 1-3 (a website v2 project):
Months 3-6 (commissioning a premium-package audit):
All equations used in this modeling are reproducible with the Python library lib/eqos.py. Full verifications in 04_VERIFICATIONS.md.
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.
The detailed calculation is inline in §03 (12 dimensions × scores × weights). Λ = 0.773 (with time modulation) · Λ₀ = 0.800 (structural).
Combined for the 36-month trajectory projection (see §08). Weighted 2029 AUM expectation = €340 M.
5 stress tests (§12). Weighted ΔΛ_stress expectation = −0.040. 3 weighted scenarios (§08). Λ_2029 expectation = 0.821.
[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).
[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).
| Equation | Module / Operator | [Wealth management firm] value | Inline reference |
|---|---|---|---|
| Λ Lambda | Master equation | 0.773 | §03 |
| Structural Λ₀ | Equation without modulation | 0.800 | §03 |
| α amplitude | Calculation, N=4 | 0.5331 | §03 |
| R_SWOT | Ratio (S+O)/(W+T) | 1.716 | §04 |
| Fear Index | Weighted sum of 8 threats | 0.413 | §04 |
| [Alignment Operator] | Cos(θ), pitch/reality | 0.76 | §13 |
| P_cycle | M_lifecycle sigmoid | 0.686 | §10 |
| Λ_implantation, Luxembourg | An aggregate of 6 criteria | 0.712 | §09 |
| E[Λ_2029] | M13 weighted expectation | 0.712 | §08 |
| E[ΔΛ_stress] | M19 weighted by probability | −0.040 | §12 |
R_SWOT — the strategic position ratio:
Fear Index — weighting 8 sector threats:
M5 logistic trajectory — projecting families:
[Duality Operator], short/long term — an oscillating tension:
Λ_implantation — an aggregate score across 6 criteria:
ΔΛ cascade — a lever's propagation across couplings:
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.
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] 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.
[Consulting firm]'s 5 areas of support
| Area | Concrete engagement | [Wealth management firm] application |
|---|---|---|
| 1 · Clarify | Organizational diagnosis · Vision 380 · a strategic audit · mapping gaps between intent and execution | An annual audit of the 4 co-founders · aligning the 2029-2032 vision · mapping the MFO pivot |
| 2 · Grow | A growth strategy · digital marketing · international scaling · go-to-market structuring | Preparing the MFO pivot · Luxembourg-opening setup · a UHNW > €5 M acquisition plan · [Co-founder 1]'s media plan |
| 3 · Perform | Executive coaching · leadership · team transformation · support for strategic decisions | Individual coaching for the 4 co-founders · team cohesion for growing from 13 to 17 staff · managing operational growth |
| 4 · Thrive | Well-being · the Wim Hof Method · work/life balance · individual resilience | Key-person risk (co-founder resilience) · sustaining workload through the pivot phase |
| 5 · Delegate | Concierge services · outsourced services · Sovereign 380 · services outside the core business | Outsourcing 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
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).
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.
| Term | Definition |
|---|---|
| AUM | Assets 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. |
| ARPU | Average 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. |
| HNW | High Net Worth Individual — wealth between €1 M and €5 M. [Wealth management firm]'s historical target. |
| UHNW / UHNWI | Ultra High Net Worth Individual — very large fortunes, wealth above €5 M. The target of the MFO pivot. |
| MFO | Multi-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. |
| SFO | Single-Family Office — a firm dedicated to a single very wealthy family (generally > €100 M). Not [Wealth management firm]'s target. |
| CGP | Wealth Management Advisor — the regulatory status of firms like [Wealth management firm] in France. |
| CIF | Financial Investment Advisor — a complementary status to CGP, tied to the AMF. |
| ORIAS | The official French register of intermediaries in insurance, banking, and finance — a mandatory official registration for practicing as a wealth management advisor in France. |
| ACPR | The Prudential Supervision and Resolution Authority — the French authority overseeing banks and insurers. |
| AMF | The Financial Markets Authority — France's regulator for financial markets and asset management. |
| CSSF | The 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 insurance | Life 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 insurance | Life 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. |
| OPCVM | A Collective Investment Undertaking — the generic term for funds (FCP, SICAV). |
| OPCVM trailer fees | A 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 debt | Loans to unlisted companies, funded directly by investors without going through banks. Senior = higher repayment priority, safer. Mezzanine = lower priority, higher return. |
| Property trading | A real-estate activity involving buying properties, renovating or converting them, and reselling within a short period (typically 12-24 months). |
| Off-market real estate | Real estate bought outside public listings, directly between professionals. Avoids competition and secures better pricing. |
| Capital-protected structured product | A 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-up | The 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 Dutreil | A 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 funds | A life-insurance vehicle where capital is guaranteed by the insurer. Low return (~2.5%/year) but near-zero risk. |
| Track record | A firm's history of realized performance on its past products. UHNW clients' #1 decision criterion. |
| Solvency II / solvency ratio | A European prudential standard measuring an insurer's ability to honor its commitments in a crisis. The higher the ratio, the stronger the insurer. |
| Term | Definition |
|---|---|
| Λ Lambda | The 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 dimensions | The 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_SWOT | The ratio between strategic resources (strengths + opportunities) and constraints (weaknesses + threats). Above 1.5 = a favorable position. [Wealth management firm] stands at 2.13. |
| Fear Index | The overall level of sector threats weighing on the firm. Below 0.50 = a moderate level. [Wealth management firm] stands at 0.413. |
| Module M5 — Emergence | A model measuring the firm's growth trajectory (families captured per year, the saturation curve). |
| Module M6 — Resonance | A model measuring how much the firm's pitch "resonates" with 2026 market expectations. |
| Module M13 — Probabilities | A model calculating the probability of each scenario for the firm's evolution at 36 months (status quo, the MFO pivot, MFO + Luxembourg). |
| Module M19 — Resilience | A model measuring the firm's capacity to absorb shocks (a geopolitical crisis, a co-founder's departure, a scandal). |
| Module M33 — Anticipation | A model projecting the impact of major macroeconomic waves (the €9,000 bn wealth-transfer wave). |
| Module M_lifecycle | A 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 v3.1 | The complete theoretical mathematical framework underlying the EQΦS (EQPhiS) Asia method. |