Use-case blueprint

Using AI for advisor meeting preparation and controlled follow-up

A governed workflow for assembling account context, generating a cited meeting brief, and proposing follow-up actions without silently changing the CRM.

Firm profile

A distribution organization whose wholesalers prepare for meetings using CRM history, calendar details, product holdings or flows, advisor-intelligence platforms, campaign engagement, and personal notes.

Operating trigger

Preparation is inconsistent and time consuming. After meetings, notes and follow-up tasks are often delayed, incomplete, or stored outside the CRM.

Systems in scope

The workflow crosses system boundaries.

Current state

What makes the workflow break down.

  1. The wholesaler opens several systems and manually reconciles current and historical information.

  2. Important changes in firm affiliation, team structure, holdings, or engagement may not appear in the meeting brief.

  3. Meeting notes vary by user and frequently omit the structured fields required for reporting.

  4. Follow-up emails, tasks, and CRM updates are drafted separately and may not share a consistent account context.

Solution architecture

A controlled operating design.

Meeting context service

Collect only the approved CRM, calendar, intelligence, product, and engagement fields needed for the meeting.

Brief with provenance

Separate internal facts, external intelligence, recent changes, open actions, suggested questions, and source timestamps.

Structured note capture

Convert approved notes into proposed CRM fields, relationship updates, tasks, and follow-up drafts.

Human-controlled action

Require the user to review and approve any communication or material record update.

Implementation sequence

Prove the workflow before expanding it.

Define the meeting brief

Work with experienced distribution users to identify the minimum useful context and remove fields that add noise.

Resolve identity

Confirm that calendar attendees, CRM contacts, firms, teams, and external data records refer to the correct entities.

Test with historical meetings

Compare generated briefs and structured notes against known examples, including advisor movements and conflicting records.

Pilot with one territory

Measure preparation time, missing context, user edits, proposed-action acceptance, and sync exceptions.

Controls

What keeps the workflow dependable.

  • Role-based access to account and product information
  • Visible source and freshness for each material fact
  • No automatic external email or material CRM update during the pilot
  • Retention and logging aligned with firm policy
  • Escalation when identities or source records conflict

Target state

What changes after implementation.

  • The user receives one concise brief organized around the purpose of the meeting.
  • Sources and timestamps make material context reviewable.
  • Post-meeting notes can produce structured proposed updates and tasks.
  • The CRM changes only after the authorized user reviews and approves them.

Measurement

Metrics to baseline and track.

Preparation time per meeting

Percentage of meetings with completed notes within one business day

User edits to generated facts and suggested actions

Accepted versus rejected proposed CRM updates

Follow-up completion time

Evidence note

Calendar, email, CRM, and advisor data can contain sensitive information. Access, retention, supervision, and permitted automation must be defined by the firm before implementation.

Have a version of this workflow inside your firm?

We can map the current state, identify a credible first release, and define the controls and measures required to operate it.

Discuss this use case