Practical guide for claims leaders

Adjuster + Agentic AI: Building a Top-Performing Claims Team

How to redesign the operating model so agentic AI handles the routine work on every claim and your adjusters focus on judgment and resolution.

Claims teams are adopting AI, but automation alone will not create a top-performing operation. If adjusters still review every automated action, search for context, and work from the same task-heavy queues, they remain the bottleneck.

Adjuster + Agentic AI: Build a Top-Performing Claims Team is a practical guide for redesigning claims work so AI agents handle repetitive tasks across every claim, while adjusters focus on coverage, liability, damages, negotiation, authority, and resolution. It shows claims leaders how to divide work at the task level, create decision-ready handoffs, redesign the adjuster day around meaningful interventions, support adoption, and measure results that can be defended.

What you'll learn

• A practical framework for splitting claims work into AI-owned, human-owned, and human-in-the-loop tasks.
• How to create decision-ready handoffs and queues that surface the claims requiring judgment now.
• Ways to prepare adjusters for the new workflow while avoiding rejection, blind trust, and duplicate work.
• Defensible measures for evaluating AI’s operational impact, plus a six-step model for starting with one claim type and scaling.

15 pages. Written for CCOs, VPs of Claims, COOs, and claims operations leaders at carriers, MGAs, TPAs, and self-insureds.