AI-powered benefits navigation helping community health centers improve patient outcomes and drive revenue. Backed by Pear VC.
About the role
You will work directly with founders, customers, and engineers to define what we build, why we build it, and how it creates real economic value (eg improving loss ratios, replacing offshore teams, improving capacity, etc) Partner directly with engineers to break down product requirements into actionable specs. You'll own the "what" and "why," collaborate on the "how," and be close enough to implementation details to unblock decisions quickly.
More about this role
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.
→ 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...
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