InsurifyAI
AI Insurance Claims Platform
An AI-powered insurance claims platform with a Liquid Glass design system across 33 dashboard pages, 21 autonomous Shadow Team agents handling feature development, real-time voice coaching during claims calls, automated demand letter generation, and certified mail delivery via Lob.
(API, Web, Realtime, Agent-Hub, Agent-Runtime)
(VPC, RDS, Redis, CloudFront, WAF)
with tiered PR routing
Cloudflare Email Routing + SendGrid
Tesla Settlement Demand — $17K → $29K Negotiated
The real-world legal claim that drove the platform: a 2019 Tesla Model 3 case involving FSD, CCC ONE valuation disputes, and a Feb 2025 incident. State Farm's initial offer was $17,000. Through a meticulously researched 200-page legal demand packet delivered via USPS Certified Mail, the State Farm Claims Upload Center, and email, we negotiated the settlement to $29,000 — a +71% increase, $12K more than the initial offer. Every workflow that now runs through InsurifyAI's automated pipeline started here.
Why only this approach worked:
- Insurance domain expertise — combining a 50-state legal database, knowledge of CCC ONE valuation methodology, and statute-of-limitations awareness for NH bad-faith claims
- Technical precision — built a python-docx formatter that produced court-ready document layouts with proper exhibit numbering, citation formatting, and certified-mail tracking integration
- Cross-referenced evidence — 200 pages of NADA + Kelley Blue Book + Manheim comparable vehicle valuations, FSD-specific damage documentation, and policy language analysis
- The full stack — engineering background to build the tools, business background to negotiate the leverage, and insurance domain knowledge to identify the carrier's weak points. The combination is rare; the result was the founding proof point for InsurifyAI.
- Tesla Settlement Demand — founding case · auto liability · $17K → $29K negotiated
- Homeowner's Claim — water damage + basement renovation · $15K+ tracked across 3 checks · 2 adjusters · 1 vendor







