Catching $200K in Insurance Underpayments with Automated Document Comparison
An AI-powered document comparison engine that OCRs submitted claims against received EOBs — catching 95% of discrepancies automatically and recovering $200K in underpayments in the first year.
Build Your Document Comparison EngineAbout the Project
An automated document comparison platform that uses OCR and AI to compare submitted claims against received Explanations of Benefits and highlight every discrepancy. It surfaces underpayments, incorrect denials, and silent code changes, generating appeal-ready reports that recover lost revenue.
Healthcare & Insurance Billing
Claim-to-EOB reconciliation for practices that bill insurance every month.
Dental and medical practices with insurance billing operations
Practices receiving hundreds of EOBs a month with no way to check them.
AI-powered claim vs. EOB comparison with automated discrepancy detection
OCR extracts both documents, then AI highlights every field that does not match.
From detection to appeal in one pass
Appeal-ready reports and pre-filled letters lifted appeal success from 30% to 72%.
$200K Recovered in Year One
95% of discrepancies caught automatically versus 20% under manual review.
Talk to our experts
Scope your own claim-to-EOB comparison engine with our healthcare billing team.
The Problem: Silent Underpayments
Underpayments went unnoticed and unrecovered.
From undetected underpayments
to automated discrepancy catching
and $200K in recovered revenue
Recover Your Lost Revenue
Why This Platform Turns Lost Revenue Into Recovered Income
We built an AI-powered comparison engine that automates the entire claim-to-EOB reconciliation workflow — from OCR extraction to discrepancy detection to appeal-ready reporting.
Intelligent OCR Extraction
Advanced OCR accurately extracts and maps fields from both claims and EOBs across multiple insurance carrier formats.
Automated Discrepancy Detection
AI compares every field and highlights underpayments, code changes, and denials — catching 95% of discrepancies that manual review misses.
Appeal-Ready Documentation
Generate detailed comparison reports and pre-populated appeal letters that increased appeal success rates from 30% to 72%.
Batch Monthly Reconciliation
Process an entire month's claims vs. EOBs in one batch, reducing reconciliation time from 3 days to 2 hours.
The Impact: Recovering Revenue That Was Silently Lost
Every number below was measured in production after launch — not projected in a pitch deck.
$200K
Underpayments Found — In the First Year
95%
Discrepancies Caught — Automatically vs. 20% Manual
72%
Appeal Success Rate — Up from 30%
93%
Time Reduction — Monthly Reconciliation