Audit.AI. Payer Claims Intelligence.

Audit every claim.
Not a sample.

A payer can decide to audit one hundred percent of claims. The limit was never the decision. It was the time to build the logic, run it, and assemble the findings. Audit.ai runs every claim through 29 checks in minutes and hands the auditor a ranked, reasoned queue.

100%of claims audited, not sampled.
29 CHECKSper claim.
6 LAYERS30 stages.
MINUTESto a reasoned queue.
Order of Operations

The problem.
Recovery starts before
payment.

Pay and chase is the order of operations almost everywhere. The claim gets paid. The dollar leaves the plan. Recovery becomes a slow negotiation that clears cents on the dollar.

Audit.ai changes the order. Six audit layers run before adjudication. When fraud or overpayment shows up, the dollar does not.

Legacy Order
1Pay Claim
2Audit Post-Pay
3Chase Recovery
Dollar leaves the plan
Audit.ai Order
1Audit Pre-Pay (6 layers)
2Intervene / Deny
3Pay Compliant Only
Dollar stays in the plan
ClearVision Audit
1,204 Claims — full resolution status
Passed (382)
Denied (216)
Fraud (129)
Engine Core Architecture

How a claim gets audited.

Six layers per facility, adapting to specialty. Thirty stages. Twenty-nine audit functions. Each layer retools per line of business: vision, dental, medical, DME, pharmacy.

LAYER 1 OF 6Audit Engine v2 · Intake and Eligibility

Intake and Eligibility

Standardizes and validates member data, coverage mapping, and historical linkage before the claim enters adjudication. This layer catches eligibility mismatches, duplicate member records, and coverage gaps before any downstream processing begins.

Audit Checks in This Layer
Member eligibility verification
Coverage period validation
Duplicate claim detection
Historical linkage analysis
Provider enrollment status
29
TOTAL CHECKS
6
LAYERS
30
STAGES
Structured Verdict Output

Every claim gets a verdict.

Six outcomes, clearly reasoned. No claim leaves without a verdict, its category, and the checks behind it.

Passed

Fully compliant, ready to pay. Proceed to adjudication and payment.

Denied

Violates policy or coverage. Deny with policy citation attached.

Fraud

Intentional deceptive billing detected — phantom billing, identity fraud. SIU escalation triggered.

Abuse

Excessive or improper utilization — duplicate component billing. Investigation queue.

Coding Issue

Coding or documentation mismatch — revenue code error, modifier missing. Route to correction.

On Hold

Awaiting manual review. Flagged for auditor queue with reasoning attached.

One Payer View

What one audit surfaces.

Figures shown represent a complete pre-payment health plan audit, not sampled.

Total Run Overview

Coverage across active healthcare facilities

Pre-Payment Complete Audit
Claim Volume
9,716
100% of pipeline reviewed
Claims Value
$18.27M
Claims monetary pool
Active Providers
324
Benchmark comparison
Facilities Checked
5
Full facility contracts
Data integrity: 29 checks run seamlessly per itemPrepare date: Grelin Representative Demo

ClearVision Audit

1,204 Claims full resolution status

Passed (382)31.7%
Denied (216)17.9%
Fraud (129)10.7%
Abuse (173)14.4%
Coding (200)16.6%
On Hold (104)8.6%

Sum: Exactly 1,204 processed

Smart Filter

Pre-payment audit run · 9,716 claims total · Complete pipeline

Claim IDPatientSpecialtyProviderCPT CodeValue (USD)VerdictAudit Findings
CLM-9832J. D.VisionDr. Smith92014$1,250PassedRoutine billing, fully compliant.
CLM-7741A. M.SurgeryMercy Gen22551$14,400CodingModifier 59 missing on secondary.
CLM-5529R. K.DentalValley DentalD2740$1,100FraudDuplicate crown billing detected.
CLM-1184S. T.MedicalCity Clinic99215$350HoldLevel 5 visit without supporting documentation.
CLM-3920M. P.PharmaCareRxJ0178$4,800DeniedPrior authorization missing for specialty drug.
CLM-8842L. L.OB/GYNWomen's Health59400$3,200PassedGlobal maternity package verified.
CLM-2105E. C.MedicalDr. Jones93000$150HoldAwaiting manual review for unbundling.
CLM-4417B. N.DMEMedEquip CoE0601$2,900AbuseExcessive supply billing per member history.
Revenue IntegritySpecialty Module

Wound.aiRevenue Integrity for Wound Care Programs

Wound.ai applies Grelin's intelligence platform to the documentation, coding, and payer policy requirements unique to wound care — including WISer and complexity-based reimbursement.

  • Match documentation to complexity-based reimbursement requirements
  • Align coding with wound care-specific payer policies
  • Navigate reimbursement complexity automatically
app.grelin.ai/wound
W
Wound AI
Wound AssessmentCoding Review
Connected

Chart Assessment

Upload a wound care chart and let AI analyze it.

Drop PDF, image, or TXT here to upload

PDF, TXT, PNG, JPG, JPEG, WEBP

Select a chart...
Begin Extraction...
Clear
Or paste chart text directly
Paste wound chart text here...
WISer Severity Indexing97% Accuracy

Automated staging and complexity analysis based on real-time clinician input.

LCD/NCD Compliance4M+ Rules

Real-time alerts for missing debridement and documentation gaps.

Audit-Ready Trails99.9% Uptime

Every documentation action is timestamped, traceable, audit-linked.

Pattern AnalysisSpecialty Module

Pain.aiRevenue Integrity for Pain Management

Pain.ai applies Grelin's intelligence platform to the regulatory and coding requirements of pain management — validating CPT accuracy, modifier use, and payer policy alignment.

  • Analyze documentation and coding patterns
  • Align with payer policy requirements
  • Prevent denials and maintain consistent performance
app.grelin.ai/pain
P
Pain.ai
ComplianceCPT Review
Live
Payer Policies1,248
Alert Signals12
Claims Today847
CODEPROCEDUREPAYERSTATUS
62323Epidural Inj.BCBSValidated
64483Nerve BlockAetnaValidated
99215E&M ComplexUHCReview
64490Facet JointCignaValidated
98%
Alignment Score
4,200+
LCD/NCD Rules
94%
Audit Precision
Regulatory Pattern AnalysisReal-time

Real-time LCD/NCD compliance mapping before claims reach the clearinghouse.

Coding Alignment98% Alignment

Automated CPT/ICD crosswalks specific to interventional pain procedures.

Predictive Audit Defense94% Precision

Simulates payer audit logic to flag potential denials before submission.

Next-Generation Audit Intelligence

Payer Integrity, Uncompromised.

"Audit.ai does not replace the auditor. It lets a one hundred percent audit ship verdicts faster, with the reasoning already attached, and more recovery dollars on the run for every payment integrity team that deploys it."
Chief Medical Officer
National Health Plan
Hands-On Proof

See Audit.ai on your own claims.

Bring a representative claim parameters below. Run it through our interactive six layers and generate a reasoned, defensible queue verdict instantly.

Select a Known Preset Anomaly
Preset #1: Flagging anomaly factors for review.
Use words like 'phantom billing', 'duplicate', or 'upcoding' to trigger respective logic checks.
Claims Integrity Processing Unit
Prepared by Grelin
Audit compliance: 0%Active Layer: 0/6
L1  INTAKE AND ELIGIBILITY
PENDING GATEWAY
L2  CLASSIFICATION
PENDING GATEWAY
L3  CODING AND CLINICAL
PENDING GATEWAY
L4  BILLING AND AUTHORIZATION
PENDING GATEWAY
L5  DOCUMENTATION AND UTILIZATION
PENDING GATEWAY
L6  FRAUD, RISK AND PAYMENT
PENDING GATEWAY
Enter claim parameters and select 'Process' to run live audit checks.

Who it is for, and the close.

Built for the payer side of the wire. Payers and health plans. Audit organizations. SIU and payment integrity teams. Government program integrity.

Book a demo & analysis

See Audit.ai on your own claims. Bring a representative claim file. We will run it through the six layers and hand back a reasoned queue you can defend.

Audit.ai

Frequently Asked Questions

What is Audit.ai?

Audit.ai is Grelin's claim auditing application for payers. It reviews claims before payment, checks them against coding standards, medical necessity logic, documentation, and the payer's own policy set, and returns a verdict with the reasoning and policy basis behind it.

What is pre-payment claim auditing?

Pre-payment auditing means reviewing a claim before money moves. The payer checks coding, documentation, and policy compliance while the claim is pending, then pays what is correct. The alternative is post-payment recovery, where the payer pays first and chases refunds later.

Why audit before payment instead of after?

Recovering paid money is slow, expensive, and adversarial. It requires audits, demand letters, and provider disputes over money already spent. Catching the same error before payment costs a fraction of that and avoids the fight. Prevention is cheaper than recovery at any volume.

Does Audit.ai deny claims automatically?

No. Audit.ai returns verdicts, reasons, and the policy basis for each one. Payment decisions stay inside the payer's existing process, and flagged claims route to human reviewers. The application does the reading and checking. People make the calls that need judgment.

How does Audit.ai handle payer-specific policy?

The application is configured against the payer's own policy set, not a generic rulebook. Each verdict cites the specific policy it applied. When a policy changes, the validation logic changes with it, so the audit reflects what the payer actually enforces today.

What does Audit.ai check on each claim?

Coding accuracy against the documentation. Medical necessity against the payer's coverage criteria. Documentation completeness against what the policy requires. Billing patterns that indicate upcoding or unbundling. Each check produces a finding the reviewer can trace back to its source.

Can providers run the same checks Audit.ai runs?

Yes. The same validation logic runs pre-submission on the provider side through RCM.ai and Chart.ai. A provider that validates against payer rules before submitting sees fewer denials. A payer that audits against the same rules pays fewer incorrect claims. Same logic, both directions.