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Banking-sector partner

AI agent automating client meeting follow-up

An AI agent in Microsoft Teams that prepares summaries, follow-ups and documentation after every meeting, giving advisors their time back.

  • Agentic AI
  • Microsoft Teams
  • Copilot Studio
  • Microsoft Graph
  • Dataverse
Our role
Solution architect: architecture of the Teams agent and of the Microsoft Graph, SharePoint, Copilot Studio and Dataverse integrations, through to the Snowflake handoff.
Project stage
Solution design and architecture

The context

A bank advisor meets several clients a day. Conversations cover their financial needs, plans, existing products and next steps.

After the meetings, the advisor must go back over notes, write summaries, spot business opportunities, document suitability information, create follow-up tasks and update several systems.

This can take 20 to 30 minutes per meeting. For a team of 50 advisors, that adds up to thousands of administrative hours every year.

The solution

An AI agent available in Microsoft Teams that retrieves authorized meeting transcripts, analyzes the conversation and automatically prepares:

  • structured meeting summaries;
  • decisions, commitments and next actions;
  • potential business opportunities;
  • information relevant to suitability documentation.

The advisor then reviews the results. Approved information is saved in Dataverse and made available to analytics systems, including Snowflake.

Potential impact (modeled scenario)

Initial annual effort
4,000 h
Target reduction
75%
Annual value freed up
$120K

Assumptions: 50 advisors × 5 meetings per week × 20 minutes × 48 weeks = 4,000 hours. With 75% of the effort removed (3,000 hours) valued at $40 per hour, the time freed up is worth $120,000 per year.

Illustrative impact based on modeled scenarios: the figures shown are simulations, not measured results.

What changes

Advisors spend more time on client relationships instead of administrative writing.

Recorded information is more consistent across advisors, making follow-up and compliance easier.

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