Case studies

Insurance

Insurance – Regional P&C Carrier: FNOL & Triage Automation AI

Timeline: Build: 14 weeks. Deploy: line-of-business waves. Optimization: continuous fraud model.

Business overview

Industry: P&C insurance. Complexity: multi-peril policies.

Common pain points

Manual FNOL, slow triage, vendor latency.

Full AI automation system (PrimeAxiom solution)

FNOL Agent, Fraud Agent, Routing Agent, Vendor Agent.

Automation workflow (detailed system flow)

1. Loss reported.
2. AI structures claim.
3. Fraud score.
4. Route to adjuster.
5. Mitigation dispatch.
6. Customer updates.
7. Continuous scoring.

AI agents & logic

Intake Agent, Score Agent, Dispatch Agent.

Technical architecture

Core system adapters, policy rules, LLM for narratives.

Tools & integrations

Guidewire ecosystem, PostgreSQL, OpenAI, Twilio, vendor networks

Results

FNOL-to-adjuster assignment time −61%; straight-through processing +19%; fraud referral precision +33%; customer NPS +17.

Timeline

Build: 14 weeks. Deploy: line-of-business waves. Optimization: continuous fraud model.