Case Study

AI Billing Reconciliation Uncovers $89K in Revenue Opportunities for a Multi-Facility Radiology Group

5-Facility Radiology Group 31,863 Claims Analyzed Anonymized for Confidentiality
98.8%
Match Rate Achieved
$1.02M
Payments Tracked
$89K
Revenue Opportunity Found
31,863
Claims Analyzed

A five-facility radiology group processing thousands of claims monthly couldn't confidently answer: "Are we actually getting paid for everything we billed?"

Payment reconciliation was done manually — a slow, error-prone process leaving significant revenue gaps undetected. Leadership suspected money was slipping through the cracks but had no way to quantify how much or where.

The core problem: With 31,000+ claims per billing cycle, manual reconciliation meant auditors could only spot-check a fraction of records — leaving most discrepancies invisible.

Automated RCM deployed an AI-powered billing reconciliation analysis across all 31,863 claims — every single record, not a sample.

1

Data Ingestion & Cleaning

Billing records were consolidated, standardized, and deduplicated into a single source of truth.

2

AI-Powered Claim Matching

Every billed claim was matched against payment records using intelligent reconciliation logic.

3

Zero-Pay & Underpayment Analysis

Claims with zero payment were isolated and categorized by reason: denial, no response, payer error, or billing issue.

4

Actionable Report Delivery

Results delivered in a structured report, prioritized by dollar value and recovery likelihood.

$89K+
Uncollected Revenue
Claims that received zero payment despite being properly billed — direct recoverable revenue.
98.8%
Match Rate
Of 31,863 claims matched to payment records, giving full billing visibility for the first time.
$1.02M
Payments Tracked
Complete payment audit trail established across all five facilities.
1.2%
Unmatched Claims
A small but significant portion with no payment record — now visible and actionable.

Key insight: The $89K in zero-pay claims wasn't due to billing errors — it was payer non-response that manual processes failed to flag. AI surfaced every unpaid claim automatically.

"We had no idea how much was slipping through until the AI analysis put every claim under a microscope. The findings paid for the audit many times over."

— Billing Director, 5-Facility Radiology Group (name withheld for confidentiality)

Zero-pay claims and unreconciled billing records show up across surgical centers, urgent care groups, and any multi-provider practice relying on manual reconciliation.

If the answer is "no" or "not easily," there's likely uncollected revenue in your billing data right now.

Find Out What's in Your Billing Data

Book a free 30-minute discovery call. We'll discuss your current billing process and whether an AI audit makes sense for your practice.

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