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Document Analysis Agent

Uses neural OCR (document-ocr-transformer-v2) to extract text with 97%+ confidence. Runs forgery detection models to identify tampering, validates signatures against provider records, checks date consistency, identifies missing required documents, and extracts structured fields (procedure codes, diagnosis, dates) for downstream agents.

Agent ID document
Sector Taft-Hartley Multi-Employer Benefit Funds
Status Operational

Problem Statement

The challenge addressed

Claims arrive with attached documents (CMS-1500 forms, medical records, receipts) that must be verified for authenticity, checked for tampering, and parsed for structured data extraction.

Core Logic

How the agent solves it

Uses neural OCR (document-ocr-transformer-v2) to extract text with 97%+ confidence. Runs forgery detection models to identify tampering, validates signatures against provider records, checks date cons...

System Navigation

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