Case study · Wealth Management & Advisory
Autonomous Zero-Data-Entry CRM & Telemetry Infrastructure
A boutique wealth management and corporate advisory firm managing $1.4B in client assets across 3 regional offices.
Engagement record
- Client
- Wealth & advisory firm
- Industry
- Wealth Management & Advisory
- System
- Autonomous Self-Enriching CRM
- Timeline
- 6 Weeks
About this write-up
This case study describes the engagement as recorded. The client is not named; figures and outcomes are as reported by the client and have not been independently audited.
The challenge
Senior wealth advisors spent an estimated 9 hours every week typing meeting notes, updating portfolio values, and logging phone summaries into a legacy CRM. Important client life milestones (inheritances, liquidity events, retirement timelines) were buried in unindexed email threads, causing missed advisory opportunities.
Objectives
- Eliminate manual CRM data entry for client meetings, phone calls, and email correspondence.
- Extract actionable wealth planning intent signals and portfolio preferences automatically.
- Trigger autonomous relationship follow-ups and compliance-approved check-ins.
- Provide advisors with instant 360-degree client briefing sheets before every consultation.
Discovery
CRM compliance audits showed that over 50% of advisor-client interactions went completely unlogged due to advisor time constraints, leaving critical regulatory audit gaps under FINRA/SEC record-keeping requirements.
What was built
- Ambient Telemetry Ingest. Secure connectors for Microsoft 365, Zoom, and VoIP telephony transcribing and indexing client conversations in real time.
- Autonomous Entity Extraction. NLP models identifying portfolio allocations, tax considerations, family beneficiaries, and sentiment changes.
- Self-Enriching Contact Graph. Dynamic relationship mapping establishing corporate connections, family trusts, and outside advisory relationships.
- Pre-Meeting Dossier Generator. Automated executive briefs delivered 15 minutes before client calls highlighting recent milestones and pending actions.
Outcomes as reported
Reported summary: 100% Automated Logging & +28% Win-Rate Lift.
| Figure | What it refers to |
|---|---|
| 100% Automated | CRM activity logging with zero manual advisor data entry |
| +28% Win-Rate Lift | On high-net-worth advisory pitches and cross-sell mandates |
| 9 Hours/Week | Saved per senior wealth advisor, redirected to client advisory |
| Zero Audit Deficiencies | Under SEC Rule 204-2 compliance inspection |
Figures as reported in the engagement record; not independently audited.
Lessons
- Advisors adopt CRM systems enthusiastically when the software does the writing for them rather than asking for input.
- Automated relationship graphs uncover unexpected referral networks across existing enterprise accounts.
Next steps
Implementing predictive wealth event triggers that analyze public corporate filing data to identify client liquidity opportunities.
Implementation questions
Yes. All data is encrypted in transit and at rest using AES-256 with dedicated tenant isolation, access controls, and immutable audit logs.
No. Fortiv AI CRM runs in the background via ambient connectors for Outlook, Gmail, Zoom, Teams, and standard enterprise VoIP PBX systems.
Custom privacy filters allow advisors to mark sensitive conversations as restricted with granular role-based access control.
Yes. Native REST APIs synchronize real-time portfolio balances, asset allocations, and custodial feeds directly into client profiles.
