Wealth synthesis
Produce in 1-2 hours an exhaustive wealth synthesis (income, real estate, financial, tax) that would take 4-6 hours classically.
Wealth synthesis is one of the most time-consuming productions for the financial advisor. For each client: compile income, real estate, financial investments, taxation, legal structures, prior donations. AI lets you quickly structure this data and produce coherent synthesis — provided you use solutions guaranteeing absolute confidentiality.
Step-by-step workflow
Confirm environment compliance
Pseudonymize data or use Claude for Work / ChatGPT Enterprise (no-training). For significant wealth, dedicated wealth management solutions recommended.
Compile client data
Before synthesis: tax notices, consolidated bank statements, rental statements, life insurance policies, capitalization contracts, donations, legal structures.
Structure into wealth families
Have AI produce structuring: assets (real estate, financial, professional), liabilities (loans, latent taxation), income, charges. Foundation for all analysis.
Identify stakes
From synthesis, have top 5 stakes produced: tax optimization, transmission, diversification, liquidity, yield. Hierarchized by impact.
Prepare recommendations
For each stake: 2-3 advisory tracks, with chiffré impact, complexity, risks. Material for client meeting.
Copyable prompts
2 tested and optimized prompts. Adapt the bracketed variables [VARIABLE] to your context.
Complete wealth synthesis
You're a senior wealth manager. Here are client file elements (anonymized): **Profile**: [AGE / FAMILY SITUATION / PRO ACTIVITY] **Annual income**: [SALARIES / DIVIDENDS / RENTAL / OTHER] **Real estate wealth**: [LIST WITH VALUES] **Financial wealth**: [INVESTMENTS] **Liabilities**: [LOANS, WEALTH TAX, DEBTS] Produce structured synthesis: 1. **Wealth dashboard**: total assets, liabilities, net worth 2. **Distribution** by asset class (% and amounts) 3. **Consolidated income** and taxation 4. **Monthly savings capacity** 5. **Wealth strengths**: 3 points 6. **Vulnerabilities**: 3 risks (liquidity, taxation, concentration) 7. **Top 5 stakes** in urgency order Mark [TO VERIFY] any uncertain calculation.
Tax stake identification
From this synthesis: [SYNTHESIS] Identify tax stakes: 1. **Income tax**: bracket, possible optimizations 2. **Wealth tax**: exposure, applicable exemptions 3. **Latent capital gains**: stocks, real estate, potential treatment 4. **Transmission**: donations to anticipate, possible dismemberment, life insurance to optimize 5. **Quick wins**: high-impact / low-effort actions 6. **Deep work**: structural optimizations to plan For each stake: estimated chiffré impact, complexity, urgency.
Top tools for this use case
Curated selection of the 3 best AI tools for wealth synthesis.
Why for this use case: The best reasoning on complex wealth analyses (tax interactions, cascade optimizations).
Why for this use case: Excellence on writing structured syntheses and pedagogical formulation for non-financial clients.
Why for this use case: For tax watch and regulatory evolutions in real time.
Estimated ROI
Time saved
60-70% on synthesis (1-2h vs 4-6h)
Quality gain
Exhaustive coverage, multiple simulations, stake identification
Stack cost
$30-100/month depending on secure solutions
Estimates based on 2026 benchmarks and user feedback. Actual ROI depends on your context.
Frequently asked questions
Wealth data confidentiality?
Critical. Solutions: Claude for Work / ChatGPT Enterprise, or pseudonymization (proportions instead of exact amounts, no names). For significant wealth, dedicated platforms with sovereign hosting.
Can AI be wrong on taxation?
Yes, particularly on complex cases (dismemberment, holding, expatriation). Always verify with tax expert for engaging recommendations. AI proposes, advisor validates.
Real ROI on client portfolio?
With 60% time gain on production, advisor can follow 30-50% more clients at constant headcount, or deepen advice on existing clients. Adapting firms see margin increase.
Does AI respect MiFID II?
Not automatically — advisor must ensure compliance. AI can produce recommendations not respecting client adequacy. Every production must pass human validation and documented adequacy test.