Infrastructure for Automated Meeting Note-Taking & Action Items

Automated meeting note-taking for advisor-client interactions requires explicitly formalized documentation: what constitutes a 'decision' vs. an 'action item' vs. a 'commitment', which compliance disclosures must be flagged as missing, what investment discussion topics require specific documentation fields, and how suitability assessments must be recorded. These rules must be machine-queryable — the AI applies them programmatically during NLP extraction. FINRA and SEC suitability requirements mean the extraction logic must reference formal, auditable rule definitions, not ad-hoc advisor interpretation.

The meeting note-taking system requires automated capture of audio recordings from all advisor-client meetings with full metadata (participants, date, duration, meeting type, client ID). This cannot rely on advisors manually initiating recordings or uploading files — automated capture from calendar systems, conferencing platforms, and in-person recording infrastructure is required. The system must also automatically route recordings to the transcription pipeline without human handoff, ensuring no meetings escape documentation for compliance purposes.

Meeting note extraction requires formal ontology: Meeting entity linked to Client, Advisor, Topics Discussed, Decisions Made, Commitments, Action Items, Compliance Flags, and CRM Tasks. Without explicit relationship mapping — Decision.madeDuring.Meeting, ActionItem.assignedTo.Advisor, ComplianceFlag.relatesTo.DisclosureRequirement — the AI cannot auto-populate CRM fields or route action items to the correct system. The structure must be machine-readable and formally defined, not just consistent field naming.

The note-taking system needs API access to conferencing platforms (audio input), CRM (client context for speaker identification and note output), compliance vocabulary databases (for disclosure flagging), and task management systems (for action item routing). The baseline confirms API access to most systems is achievable, though legacy core banking access is restricted. For meeting transcription, the critical data sources and output targets are accessible via API — CRM and document systems support programmatic access.

Meeting note extraction rules must update when compliance requirements change (new disclosure obligations, updated suitability documentation rules), when product catalogs change (new investment products requiring specific discussion documentation), and when CRM fields change. Event-triggered maintenance ensures the AI applies current extraction logic — when FINRA issues new guidance on suitability documentation, the extraction templates update accordingly. Stale extraction rules produce non-compliant meeting records.

Automated meeting note-taking must integrate conferencing/recording platforms (audio source), CRM (client context and note destination), compliance management systems (disclosure rule source and flag destination), task management (action item routing), and document management (transcript storage). These require API-based connections — the AI needs client profile context during transcription and must write structured outputs back to CRM and compliance systems. Point-to-point API integrations between these systems support the end-to-end workflow.