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.