Use AI without weakening client confidentiality or oversight.
Apply controlled AI to research, preparation and internal workflows while preserving human responsibility and documented governance.
No client portfolio data required for the first conversation.
Current exposure patterns in wealth management
Advisers and analysts often seek to increase productivity by using public tools to synthesize market analyses or read portfolio structures. Lacking formal rules, client data can transit through external servers, presenting direct regulatory challenges under FINMA circulars and nLPD constraints.
Confidentiality and governance risks
- FINMA Compliance: Regulatory exposure if operational dependencies lack explicit documentation.
- Client Data Transit: Uncontrolled SaaS leaks portfolio details or investment mandates.
- Fiduciary Duty: Unverified AI summaries risk flawed asset allocation reasoning.
Best first workflows for independent asset managers
Start with bounded, internal analytical workflows that augment analyst productivity while keeping all investment responsibility with the manager.
1. Market & Research Synthesis
Input: Analyst research notes, macro reports, fund fact sheets.
AI Action: Extract key arguments, compare viewpoints, draft concise summaries.
Human Review: Portfolio manager verifies source attribution before investment committee.
Traceability: Direct source citation links attached to every analytical statement.
Exclusion: No automated trade execution or investment decision-making.
2. Client Meeting Preparation
Input: Meeting history notes, mandate constraints, public market data.
AI Action: Generate briefing dossier with suggested discussion points.
Human Review: Relationship manager reviews and customizes the briefing note.
Traceability: Input records and prompt history retained in internal audit trail.
Exclusion: No direct client emails sent without relationship manager approval.
3. Investment Committee Briefing
Input: Multiple analyst reports, historical position notes, policy guidelines.
AI Action: Synthesize structured comparison tables and risk factor summaries.
Human Review: Committee members review source references during deliberation.
Traceability: Full model output hash and prompt version stored in compliance log.
Exclusion: No automated generation of regulatory investment advice.
4. Mandate Constraint Verification
Input: Client mandate guidelines, ESG exclusions, asset class restrictions.
AI Action: Check draft allocation proposals against stated mandate limits.
Human Review: Compliance officer validates any flagged boundary exceptions.
Traceability: Constraint check results logged with timestamp and rule reference.
Exclusion: No automated mandate modification or portfolio rebalancing.
5. Regulatory Update Briefing
Input: FINMA circulars, LSFin/LEFin guidance, industry association notes.
AI Action: Summarize operational impact for the compliance and management team.
Human Review: Compliance lead assesses relevance and determines required action.
Traceability: Source regulatory document references linked to every point.
Exclusion: No automated compliance filing or regulatory reporting.
6. Operational Procedure Search
Input: Internal compliance manual, custodian bank guides, onboarding rules.
AI Action: Answer operational questions with exact references to internal policy.
Human Review: Operations staff confirms procedure against original manual.
Traceability: Answers include exact chapter and section references to source PDFs.
Exclusion: No automated policy overrides or unapproved procedure changes.
What remains under human authority
Investment decisions, portfolio allocations, client advice, and regulatory reporting remain exclusively human responsibilities. AI systems operate strictly as internal research and preparation assistants.
Exclusions: Cytria does not provide automated trading, algorithmic investment advice, or autonomous client communication.
The Cytria engagement path
- Diagnose: AI Readiness & Governance Audit to map workflows, data exposure, and compliance requirements.
- Deploy: Proof Sprint to test one sovereign workflow in an isolated Swiss environment.
- Operate: Secure operational handover, documentation, and ongoing support.
What the AI Governance Dossier contains
Our governance audit delivers a comprehensive blueprint: AI tool inventory, data sensitivity classification, transit risk mapping, compliance alignment (FINMA/nLPD), and defined human validation checkpoints.
Inspect the sample governance dossier →Founder Credibility
Led by Enrico Bartolotti, Cytria Sàrl operates under strict Swiss confidentiality. We deploy dedicated infrastructure, ensuring your client and portfolio data never touches shared SaaS environments.
Cytria Sàrl · Geneva CHE-378.854.076
See our About Page for founder records.
Swiss Hosting Boundaries
Models run in isolated Swiss VPCs. No client or portfolio data leaves your defined perimeter without explicit, documented configuration.
Read our method →Architecture & Security
We deploy open-weights models (such as Llama-3 or Mistral) on dedicated compute resources with strict role-based access control and complete audit logging.
Review architecture →Ownership & Handover
You retain full ownership of all custom configurations, prompts, and integration code. Migration to your own infrastructure is supported at every stage.
Read engagement terms →This page reflects Cytria’s Swiss legal and operational foundation. Wealth managers in other jurisdictions may adopt the same control principles under their respective regulatory frameworks.
Request a confidential review of your AI exposure
We will discuss your current processes, compliance constraints, and potential safe workflows. No client portfolios or files are required for this first conversation.