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APANA ADVISOR

You don’t run simulations anymore. You build client-ready strategies.

Apana Advisor turns client context, portfolio data and regulatory constraints into explainable recommendations, scenario comparisons and review-ready outputs.

Request a demoSee how it works
Reasoning engineAdvisor workflow
Scenario comparisonAdvisor remains in control
Connected contextUse real client, portfolio and compliance data.
Scenario comparisonCompare strategies with explicit trade-offs.
Review-ready outputPrepare recommendations the advisor can validate.
HOW IT WORKS

From client context to recommendation draft

A clear three-step workflow for wealth advisors who need structure, comparison and explainable outputs.

Step 1

Connect context

Bring together client data, portfolio reality and suitability constraints before any strategy work starts.

Example output: profile summary, liquidity constraints and tax perimeter.
Step 2

Explore and compare strategies

Use conversational reasoning to test alternatives, compare scenarios and surface trade-offs clearly.

Example output: balanced vs defensive strategy comparison with risk and tax differences.
Step 3

Generate recommendation

Turn the analysis into a structured, explainable recommendation the advisor can review and refine.

Example output: recommendation summary, allocation breakdown and client-facing rationale.
SEE HOW IT WORKS

A copilot for strategy reasoning, not just projection

Apana Advisor lets the advisor discuss options, compare scenarios, request explanations and move directly into structured output generation.

Advisor conversation
Scenario comparisonExplainable outputs
Conversation
Apana Advisor Copilot
Strategy reasoning active
Advisor

Client is 45, has EUR 500K, moderate risk and wants income with tax optimization.

Apana
I structured the case and prepared a first strategy.
Profile: moderate, income-oriented
Constraints: liquidity reserve and suitability
Focus: tax optimization
Advisor

Show me a more defensive version.

Apana
I built a more defensive path and highlighted the differences.
Risk: lower volatility
Liquidity: higher reserve
Return: lower illustrative profile
Advisor

Compare both and draft the client explanation.

Apana
I compared both options and drafted the client explanation.
Trade-offs rewritten in plain language
Recommendation summary prepared
Output ready for advisor review
Structured output
Reasoning pathExplainable and reviewable
Situation summary

Moderate profile, income target, tax sensitivity and 12-year horizon.

Constraint mapping

Liquidity reserve, suitability boundaries and available optimization levers.

Scenario comparison

Balanced and defensive paths structured side by side before recommendation drafting.

Client explanation

Trade-offs rewritten into clear, client-ready language for advisor review.

Scenario comparisonIllustrative examples for strategy discussion
Illustrative figures shown for discussion only.
Balanced income+5.8% annualized
Illustrative return example

45% bonds · 35% equities · 20% income sleeves

RiskModerate
TaxOptimized
Defensive income+4.2% annualized
Illustrative return example

58% bonds · 20% equities · 22% cash and income sleeves

RiskLower
TaxGood
Tax-led growth+6.4% annualized
Illustrative return example

30% bonds · 48% equities · 22% wrappers and income

RiskModerate+
TaxStrong
Client explanationPlain-language trade-offs

The defensive version reduces expected volatility and preserves more liquidity, but the income profile is lower. The balanced version better supports the income objective while remaining aligned with the profile.

Recommendation draft generated

Structured summary, allocation, illustrative metrics and narrative explanation prepared for advisor review.

Review-ready
RECOMMENDATION OUTPUT

From analysis to client-ready recommendation

Apana Advisor turns the reasoning into a structured draft that can support preparation, internal review and client conversations.

Recommendation draft

Income and tax optimization strategy

Prepared for advisor review

Strategy summary

Balanced income allocation designed for a moderate-risk profile with an income objective and tax-sensitive wealth structure.

Allocation breakdown

Bonds45%
Equities35%
Income sleeves20%

Illustrative metrics

Illustrative return example+5.8% annualized
Risk levelModerate
Tax postureOptimized
Liquidity reserve12 months

Narrative explanation

This strategy aims to maintain a stable income profile while improving tax efficiency. It preserves a prudent reserve, keeps equity exposure controlled and structures the income mix around the client’s medium-term objectives.

How it worksBuilt on a real simulator base

Recommendation outputs are grounded in 46 underlying simulators across income tax, savings, insurance, real estate, transmission, IFI and credit.

Underlying patrimonial calculations
Structured advisory reasoning
Client-ready recommendation output
What the advisor gets
  • Recommendation summary
  • Allocation breakdown
  • Illustrative metrics for discussion
  • Client-facing explanation draft
Why it converts work

Advisory preparation moves faster because the analysis, comparison and explanation stay connected from start to finish.

POWERED BY REAL DATA

No generic outputs. Every recommendation is contextual.

Apana Advisor combines real client data, portfolio reality and compliance constraints before generating any recommendation draft.

Client context

Objectives, constraints, risk profile, patrimonial situation and relevant meeting context from Apana Data.

Portfolio data

Existing allocation, liquidity, wrappers, exposures and portfolio structure connected to the advisory work.

Compliance constraints

Suitability rules, profile boundaries and internal review constraints used to frame the recommendation.

Apana Advisor
Contextual reasoning engine

Connected reasoning, not isolated calculation

The system combines client context, portfolio structure and regulatory boundaries before building, comparing and explaining recommendation paths.

Scenario comparisonTrade-off explanationRecommendation draft
DIFFERENTIATION

Traditional tools project numbers. Apana Advisor builds recommendations.

A sharper workflow for wealth advisors who need reasoning, comparison and recommendation structure, not only isolated calculations.

Traditional tools

Projections and isolated simulations

Apana Advisor

Reasoning engine for advisory work

Starting point
Manual inputs, isolated projections and one-off simulations.
Client context, portfolio data and constraints already connected in one reasoning flow.
What the system does
Calculates a scenario after the advisor fills a form.
Builds, compares and explains strategies with the advisor through conversation.
Scenario comparison
Requires separate runs and manual reconciliation.
Shows alternatives side by side with explicit trade-offs.
Explanation
Leaves interpretation and client wording to the advisor.
Generates structured explanations the advisor can review and refine.
Recommendation output
Returns numbers that must be rebuilt into client material.
Produces review-ready recommendation drafts with narrative, structure and metrics.
TRUST AND CONTROL

Built for regulated advisory work

Apana Advisor is designed to support professional judgment, preserve review discipline and fit regulated environments.

Advisor remains in control

Apana Advisor supports analysis and drafting. The advisor reviews, adjusts and decides.

No automated decision-making

The system does not auto-approve recommendations or act without advisor oversight.

Full auditability

Reasoning, inputs and outputs can be traced back to the client context, scenarios and review flow.

Review-ready outputs

Generated recommendations are prepared for advisor validation, not treated as final by default.

Designed for regulated environments

The workflow is built to respect suitability, internal review and compliance-sensitive processes.

SEE APANA ADVISOR

Move from strategy reasoning to review-ready output

See how Apana Advisor helps wealth advisors compare strategies, explain trade-offs and prepare client-ready recommendations from real advisory context.

Request a demoSee how it works
ApanaData
APANA DATA

Turn fragmented client information into an AI-ready client context

Apana Data captures information from documents, meetings and notes, structures it into a reliable client file and makes it usable through AI.

Documents, emails and meetingsAsk your client file through AIPush actions to CRM and workflows
TALK TO YOUR DATA

Ask, verify and trigger the next action

AdvisorSuite au rendez-vous de ce jour, quels documents manquent pour ce client ?
Apana AIAvis d’imposition missing. Bulletin de salaire received. Pièce d’identité validated.
Missing document detectedClient file reviewed
AdvisorCrée une tâche pour relancer le client
Apana AITask created and client notified.
Todo createdClient notified
Structured client context
HouseholdMarried
IncomeEUR 118K
AssetsEUR 1.8M
Tax statusNeeds review
CAPTURE SOURCES

How Apana Data captures client context

Document extraction

Document extraction

Tax notice, ID and account statement become structured client data.

Is the client file complete for compliance review?

Request proof of addressUpdate CRM incomeFlag expired ID
Online meeting

Online meeting

Transcripts and remote meeting notes become reusable advisory context.

What are the key follow-ups from this meeting?

Create advisor todoPrepare summary emailAdd objective to profile
Physical meeting

Physical meeting

Advisor notes and offline exchanges feed the same structured client file.

What should I prepare before the next appointment?

Create checklistUpdate advisory notesTrigger portfolio analysis
CONNECTED WORKFLOW

The structured context powers the rest of Apana

Structured client context
CRMClient records updated
ComplianceEvidence and checks prepared
AdvisorReviewed context for recommendations
FinancePortfolio follow-up uses the same data