The enterprise friction point
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.
Transformation 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 & architectural audit
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.
The Fortiv AI architecture
- 01
Ambient Telemetry Ingest: Secure connectors for Microsoft 365, Zoom, and VoIP telephony transcribing and indexing client conversations in real time.
- 02
Autonomous Entity Extraction: NLP models identifying portfolio allocations, tax considerations, family beneficiaries, and sentiment changes.
- 03
Self-Enriching Contact Graph: Dynamic relationship mapping establishing corporate connections, family trusts, and outside advisory relationships.
- 04
Pre-Meeting Dossier Generator: Automated executive briefs delivered 15 minutes before client calls highlighting recent milestones and pending actions.
Verified audit outcomes
Post-deployment impact
- 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
Architectural lessons learned
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.
Future scale roadmap
Implementing predictive wealth event triggers that analyze public corporate filing data to identify client liquidity opportunities.
Implementation FAQ
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