Freeflow is building AI Agents for P&C Insurance Carriers.
We’re starting by solving a customer problem that has strong pull from our industry contacts: Claims auditing.
Today, carriers audit a small percentage of claims. They do these audits manually, inconsistently, and often too late to drive meaningful outcomes on key business metrics like Loss Ratio, Customer Satisfaction, or Claims Capacity.
We believe the future is:
→ Continuous, AI-driven audits across 100% of claims → Real-time detection of leakage, errors, and missed opportunities → Direct, measurable improvement to the loss ratio
But claims audits are just the starting point.
Our broader vision is to build an AI-native operating layer for insurance carriers, that includes:
•
Submission intake: structuring and routing risk data at the quote stage
•
Premium audits: ensuring accuracy between exposure and written premium at the bind stage
•
Claims audits: real-time detection of leakage, errors, and missed opportunities at the claim stage
Having even two out of the three nodes allows Freeflow to create an intelligent data layer powered by AI agents that continuously improves decision-making across the carrier’s operations.
This is how we move the loss ratio at scale.