FalconX Tech
FalconX Tech
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AIInsurance

Insurance Claims Document AI

Client: Northbridge Mutual

14d → 3d
Avg. Claim Cycle Time
73%
Auto-Data Extraction
₹3.4Cr
Annual Cost Saving
Claims handler interface with pre-extracted data
Document AI pipeline visualization
The Challenge

Northbridge Mutual processed 18,000 motor and health claims monthly, with 22 manual touchpoints per claim and an average 14-day cycle time. Claims handlers spent 60% of their time reading PDFs, photographs, and FIRs to extract structured data.

Our Solution

We built an AI claims pipeline using Azure Document Intelligence for OCR + structured extraction, a Claude-powered reasoning layer for fraud-flag heuristics, and a workflow engine that routes claims to the right handler with all data pre-populated. Human review remains for every decision.

Tech stack

Azure Document IntelligenceClaude APIPythonFastAPIPostgreSQLTemporalReact
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