How a Use Case Sprint Enabled AI Automation in Insurance Underwriting

How a Use Case Sprint Enabled AI Automation in Insurance Underwriting

Industry

Insurance

Technologies

.NET, Azure, LLM, MCP, Chat-Mium

Situation

A global insurer operated a legacy underwriting platform. Opaque processes and manual handling led to delays, errors, and compliance risks.

Sprint Moderation Highlights

As the facilitator, I organized a 3-day discovery sprint:

  • Day 1: Captured bottlenecks with Mapping Agent
  • Day 2: Walked through process variants with underwriters
  • Day 3: Documented LLM prompts and automation logic in MCP

Outcome

  • Solid foundation for automation prototyping
  • MCP workspace retained all inputs and insights
  • Project received greenlight based on sprint results