A 500-bed academic medical center was experiencing 12% claim denial rates and an average 45-day revenue cycle. The coding team of 60 certified coders processed claims manually, with a 15% error rate in ICD-10 and CPT code assignment. Appeals on denied claims took 30+ days and had only a 40% success rate.

The center estimated $18M in annual revenue leakage from under-coding, missed charges, and abandoned denials. Payment posting required manual reconciliation of EOBs against claims, consuming 20 FTEs. The CFO identified revenue cycle inefficiency as the single largest operational challenge.

The center needed end-to-end automation from clinical documentation to payment posting, with intelligent denial management and appeals.

The Solution

A 7-agent pipeline that codes, submits, scrubs, appeals, and reconciles autonomously

Vijan.AI deployed a 7-agent revenue cycle pipeline. The Coding agent reads clinical notes and assigns ICD-10/CPT codes with medical NLP. The Claim Builder packages clean claims in 837 format. The Scrubber agent validates against 2,000+ payer-specific rules before submission. The Submission agent files claims electronically to clearinghouses. The Denial Manager analyzes rejection reason codes and categorizes by root cause. The Appeals agent drafts appeal letters with supporting documentation and submits within payer deadlines. The Payment Poster reconciles ERA/EOB remittances against claims automatically.

Autonomous Agents

How each agent reasons, decides, and acts

Step 1 · Orchestration

Revenue Cycle Agent

Revenue Cycle Workflow Orchestration

Coordinates all revenue cycle activities from patient registration through final payment reconciliation.

Input

Patient encounters, scheduling data, payer contracts

Output

RCM workflow status with task assignments and milestones

Calls workflow engine to route encounters through verification, coding, billing, collections
Calls denial tracking tool to monitor rejection rates and root causes
Autonomous decision: prioritize high-value claims, fast-track clean claims, flag denials
Routes workflow orchestration signals to all revenue cycle agents

Step 2 · Claims

Claims Processing Agent

Intelligent Claims Processing

Scrubs claims for errors, validates coding accuracy, and submits clean claims to payers electronically.

Input

Coded encounters, charge data, payer rules

Output

Submitted claims with acceptance confirmations

Calls claim scrubbing tool to validate codes, modifiers, and medical necessity
Calls EDI submission tool to transmit claims to clearinghouse and payers
Autonomous decision: auto-correct common errors, hold invalid claims for review
Routes submitted claims to Payment Reconciliation agent for tracking

Step 3 · Reconciliation

Payment Reconciliation Agent

Automated Payment Reconciliation

Matches payments to claims, identifies underpayments, and flags discrepancies for appeals.

Input

EOBs, ERA files, claim data, contracted rates

Output

Reconciled payments with variance reports

Calls payment matching tool to link remittances to original claims
Calls variance flagging tool to detect underpayments, denials, and contractual adjustments
Autonomous decision: auto-post clean payments, route variances to appeals or write-off
Routes payment data to revenue forecasting and billing for patient balances

Step 4 · Billing

Medical Billing Agent

AI-Assisted Medical Coding and Billing

Suggests optimal procedure and diagnosis codes, validates charge accuracy, and ensures compliant billing.

Input

Clinical documentation, charge master, coding guidelines

Output

Coded claims ready for submission

Calls code suggestion tool to recommend ICD-10, CPT, HCPCS codes from clinical notes
Calls charge validation tool to ensure billing aligns with documentation and payer policies
Autonomous decision: auto-code routine encounters, flag complex cases for certified coder review
Routes coded claims to Claims Processing agent for scrubbing and submission

Step 5 · Verification

Insurance Verification Agent

Real-Time Insurance Verification

Verifies patient coverage, obtains prior authorizations, and checks eligibility before services are rendered.

Input

Patient demographics, insurance cards, service requests

Output

Verified coverage with authorization numbers

Calls eligibility check tool to validate active coverage and benefits
Calls authorization request tool to submit pre-service approvals to payers
Autonomous decision: approve covered services, alert staff of coverage gaps or denials
Routes verification status to registration and prevents services for inactive coverage

Step 6 · Compliance

Regulatory Compliance Agent

HIPAA and Revenue Cycle Compliance

Validates HIPAA compliance, maintains audit trails, and ensures adherence to billing regulations.

Input

Claims data, access logs, consent forms, payer contracts

Output

Compliance certification with audit trail

Calls HIPAA validation tool to check for unauthorized access and disclosure
Calls audit trail tool to log all revenue cycle transactions and user actions
Autonomous decision: block non-compliant activities, flag potential fraud or abuse
Routes compliance reports to compliance officer and regulatory reporting

Step 7 · Forecasting

Revenue Forecaster

Predictive Revenue Forecasting

Predicts cash collections, analyzes payer mix trends, and forecasts accounts receivable aging.

Input

Claims pipeline, payment history, denial rates, payer performance

Output

Revenue forecast with cash flow projections

Calls AR forecasting tool to predict collection timing and amounts per payer
Calls payer mix analysis tool to identify trends in coverage and reimbursement
Autonomous decision: alert CFO to revenue shortfalls, recommend AR acceleration strategies
Routes forecast to finance team for budgeting and operational planning

Results

Measurable impact within 90 days of deployment

25%

Faster Reimbursement

Average revenue cycle compressed from 45 days to 34 days. Clean claim rate increased from 85% to 97%.

3.2%

Denial Rate

Claim denials reduced from 12% to 3.2%. Appeals success rate improved from 40% to 78% with AI-drafted letters.

$14M

Revenue Recovered

Combination of reduced denials, improved coding accuracy, and captured missed charges recovered $14M annually.

40 FTE

Capacity Freed

Coding and billing staff reallocated from manual processing to exception handling and payer relationship management.

Implementation

From pilot to production in 12 weeks

Week 1-4

Agent Design & Tool Integration

Defined agent capabilities, connected ML model, rules engine, graph DB, and chargeback API tools. Configured orchestrator routing logic.

Week 5-8

Shadow Mode & Autonomous Tuning

Agents ran in shadow mode on 10% of transactions. Tuned decision thresholds, tool call parameters, and feedback loop retraining frequency.

Week 9-12

Full Autonomous Deployment

Production rollout across all channels. Agents operating fully autonomously with human-in-the-loop for critical escalations only.

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