AI for Insurance Advisors
Turn scattered product knowledge and client questions into faster, more reliable follow-up.
A safe starting playbook for organising approved product materials, retrieving the right context, and drafting client-ready follow-up while keeping advice and sensitive decisions with the advisor.
A system you can use again next week.
- One trusted reference built from approved product materials
- Faster retrieval when a client asks about an unfamiliar product or term
- Reusable preparation and follow-up workflows that preserve advisor judgment
- Clear privacy, permission, compliance, and human-review boundaries
Six parts, in order.
- 01
Choose one advisory job
Start with one repeated task such as product lookup, meeting preparation, or follow-up.
- 02
Define approved sources
Use current, permitted product materials and record where each fact came from.
- 03
Separate sensitive data
Keep personal client information out until storage, consent, access, and retention rules are explicit.
- 04
Build the reference
Convert a small, clean set of documents into an organised, searchable knowledge base.
- 05
Retrieve, then draft
Find the supporting material before drafting a summary or follow-up for advisor review.
- 06
Test and maintain
Check every answer against its source and assign an owner for product updates and stale information.
Grounded in a hands-on knowledge-system workshop with two insurance advisors and Tony’s financial-services training experience with advisor and sales teams.