Cutting Insurance Claims Turnaround From Days to Hours

The Challenge

Claim volume was rising faster than the adjuster team could scale, and simple claims (a cracked windshield, minor water damage) were taking as long to reach an adjuster as complex multi-party ones. Supporting documents arrived in inconsistent formats — scanned PDFs, phone photos, handwritten forms — and had to be read, classified, and matched to the right claim file by hand before any adjuster could act.

• ›Claim volume up 60% year over year with no corresponding increase in adjuster headcount
• ›Average time-to-first-review climbing past 3 business days
• ›Supporting documents submitted in inconsistent, largely unstructured formats
• ›No automated way to flag likely-fraudulent or high-priority claims early
• ›Adjusters spending significant time on data entry rather than claim decisions

The Solution

We built an automated intake pipeline that classifies incoming documents, extracts key claim data, and routes each claim to the right queue based on complexity and risk signals — before a human ever opens the file. Low-complexity claims move straight to fast-track review; flagged claims route to senior adjusters with the relevant context already attached.

• ›Document AI pipeline classifies and extracts data from scanned, photographed, and typed submissions
• ›Rules-based triage engine scores claims by complexity and fraud risk on intake
• ›Fast-track queue for low-complexity claims, cutting review time from days to hours
• ›Adjuster dashboard surfaces extracted data, flags, and claim history in one view
• ›Integrated with BrightPath's existing policy and payments systems with no data migration required