**The Problem: The 15-Day Bottleneck
**Most people think insurance innovation is about a better mobile app. It isn’t. The real problem is the Claims Bottleneck.
The average P&C (Property & Casualty) claim still takes 15+ days to process, involves 10+ manual touchpoints, and costs carriers a fortune in Loss Adjustment Expenses (LAE). Legacy systems are monoliths—integrating a new "AI tool" usually takes 18 months of enterprise red tape.
The Vision: AgentOS
I’m building AgentOS It’s not an "AI wrapper." It’s a modular, AI-native orchestration layer.
Think of it as AWS Lambda for Claims. Instead of one giant LLM trying to do everything, AgentOS deploys a fleet of specialized agents:
Intake Agent: Converts messy FNOL (First Notice of Loss) data into structured JSON.
Policy Agent: Cross-references claims against complex coverage documents in milliseconds.
Fraud Shield: An agentic pattern-matcher that flags anomalies before they hit the payout stage.
The Goal: 70% Straight-Through Processing (STP) for low-complexity claims like auto-glass.
*I want your blunt technical critiques:
*
Is a usage-based "Margin-on-Claim" model better than a standard SaaS seat license for infrastructure?
How would you handle state persistence for agents that need to wait 24 hours for a human approval gate?
*Check out the live demo: clone-wiz-frontend.lovable.app
*
Let’s build the future of autonomous infrastructure together.
Top comments (1)
I'm ready to accept feedback from anyone before getting deep. If you're a senior dev or in fintech, I'd love to hear why you think this will (or won't) work.