Our Solution
An AI document pipeline that extracts, validates, and routes claim documents automatically, with human review only on exceptions.
We built an AI-powered document pipeline that reads incoming claim documents, extracts the relevant fields, validates them against business rules, and routes clean claims straight through — reserving human attention for the exceptions that genuinely need it.
The system was deliberately designed around confidence: when the AI is highly confident and the data passes validation, the claim proceeds automatically; when confidence is low or a check fails, the document is flagged for a human reviewer with the uncertain fields highlighted. This kept accuracy high while removing the bulk of manual keying.
Key elements of the build:
- Automated extraction of structured fields from varied claim document formats
- Confidence thresholds and validation rules that separate straight-through claims from exceptions
- A human-in-the-loop review queue focused only on flagged documents
- Integration with the existing claims management system so no parallel process was needed
Adjusters were freed from repetitive data entry to focus on judgment-heavy work, the backlog cleared, and customers saw noticeably faster claim resolution.
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