Azure AI Foundry

Agentic AI for Revenue Cycle Management

Six specialized AI agents coordinating eligibility, coding, adjudication, and denial recovery. Automating 45 minutes of manual claims work in under 60 seconds.

The Agent Team
📋
Claim Intake
Sofia
🔍
Coverage Verification
David
⚖️
Adjudication
Maria
🚫
Denial Prevention
James
💳
Payment Posting
Priya
📊
Revenue Integrity
Alex
60s
vs 45 min manual
6
Specialized Agents
35+
Edge Cases Handled
60%
Cost Reduction
<5%
Manual Review Rate
Baseline: A textbook clean claim with no surprises.

A primary care practice submits a routine office visit for an established patient with active Blue Cross coverage. All CPT codes are valid, prior auth is not required, and the fee schedule match is exact. This is the best-case path that revenue cycle teams want every claim to follow.

Claim IntakeCoverage VerificationAdjudication

Claim Intake extracts the structured 837P fields using Document Intelligence. Coverage Verification confirms active membership. Adjudication applies the fee schedule and produces a clean ERA.

Financial StakesIn a 500-bed hospital system, roughly 65% of claims should follow this path. Any deviation raises cost per claim from $0.10 to $2-3 in manual rework.
Agent Pipeline
📋
Claim Intake
🔍
Coverage Verification
⚖️
Adjudication
🚫
Denial Prevention
💳
Payment Posting
📊
Revenue Integrity
⚕️

Select a scenario and click Run Agent Pipeline to process a claim through all 6 AI agents.

Executive Summary

Run a claim to see the executive summary with status, risk score, root issue, and financial impact.