Business Case
Manual re-keying slowed every quote and raised error risk. Some of the issues that had cropped up include:
- Document silos PDFs and scanned forms forced staff to retype names, VINs, and coverage data
- Long turnarounds Quote packages often took hours to reach agents and brokers
- Error fallout Typos in coverage limits triggered costly endorsements and claim disputes
Our Solution
We inserted an AI extraction layer that drops clean data straight into core systems. Here are some of the features:
- Event-driven ingest An Azure function fires on each upload and routes files to processing
- Python post-processing Pandas, Regex, and NumPy tidy fields and build a structured JSON record
- Serverless design No hardware to maintain; scaling happens automatically
- Custom form recognizer model Captures names, addresses, vehicle details, VINs, and coverage in seconds
- Secure API hand-off JSON flows to policy-admin and quoting tools through azure API management