AI revenue cycle management, enforced before the claim exists.
RCM.ai applies claim validation across every client, specialty and payer. Six modules cover the claim lifecycle, from eligibility to appeals. Errors get caught where they start, not where they surface.

97–99%
Coding Accuracy
98%
Clean Claim Ratio
< 3%
Denial Rate
Most denials are created long before billing ever sees the claim.
A coding error on one claim is a correction. The same error across 40 specialties and every payer is a denial pattern. RCM.ai shifts claim validation from reactive downstream discovery to upstream pre-claim enforcement.
Upstream Claim Integrity
By upstream, we mean patient access, prior authorization, coding and the payer-specific logic that exists before a claim is created. That is where RCM.ai does its work.
The AI Upstream Defense
Payers are using AI to deny faster. The only durable response is claims that are correct before submission.
System Operating Model Comparison
Traditional Downstream RCM vs.
RCM.ai Upstream Platform
The suite: six modules, one claim lifecycle
Select any module below to inspect its role, technical execution pipeline, and proof metrics across the RCM.ai platform.
Coding Studio
The coding module of RCM.ai, running on the coding.ai engine. Extraction is built in.
Summary: Extraction, AI accelerated coding and automated billing.
Work enters however it exists. Extract a superbill, upload a chart or paste one in. In 10 to 30 seconds the coder has suggested codes, confidence scores, chart evidence and compliance flags. The coder confirms, and the claim uploads automatically to Office Ally for billing.
Suite Proof Metrics
60 to 80% less manual coding effort. 3 to 5x throughput per coder. 97 to 99% coding accuracy. 98% clean claim ratio, submitted in under 24 hours.
Technical pipeline specifications
How inputs, AI validation engines, and outputs connect across all six modules to ensure zero claim rework.
Specialty applications
RCM.ai extends its core 6-module engine with dedicated specialty rulepacks tailored to high-denial clinical domains.

Claim Integrity & Financial Metrics
Rolling up per-module proofs across the full RCM.ai claim lifecycle.

Claim Integrity & Front-End

Financial Efficiency & AR

Operational Automation
90%
Front-end rejection capture (Eligibility & Prior Auth AI)
97–99%
Coding accuracy across 40+ specialties
98%
Clean claim ratio submitted in < 24 hours
Use cases
Configured to match your organization's operating model and specialty footprint.
Multi-specialty RCM (40+ specialties)
Deploy the full six-module suite to enforce claim integrity end-to-end across high-volume multi-client billing operations.
MSO-owned practice consolidation
Eligibility AI and Prior Authorization AI standardize front-end behavior across acquired practices first before harmonizing billing.
Specialty-focused operations
Coding Studio and the relevant specialty app (Wound.ai, Pain.ai, Behavioral.ai, DME.ai) carry the coding load where payer logic is hardest.
Offshore operations augmentation
Coding Studio and AR & Denial Management raise throughput per person, so scale stops meaning headcount expansion.
Proven Impact: Multi-Specialty Billing Client
Real performance metrics from production deployment across high-volume claim flows.
88%
Human-free processing rate
8.5% → 2.1%
Denial rate reduction
42 → 28 days
AR days reduction
12 → 2 FTEs
Coding FTE reallocation
12 Hours
Turnaround time (TAT) reduction
Integrations & Enterprise Security
RCM.ai connects directly to your existing EHR, PMS, and clearinghouse infrastructure without requiring expensive Rip-and-Replace migrations.
Epic Systems
Protocol: API / Direct CAD
Oracle Cerner
Protocol: FHIR R4 / Smart-on-FHIR
AthenaHealth
Protocol: RESTful Webhooks
eClinicalWorks
Protocol: 270/271 & 837/835 EDI
NextGen Healthcare
Protocol: HL7 Engine
ModMed (EMA)
Protocol: Rest API Pipeline
Office Ally
Protocol: SFTP & 837 Payer EDI
Custom / SFTP
Protocol: 256-bit Encrypted SFTP
RCM.ai Frequently Asked Questions
Everything you need to know about the RCM.ai Claim Integrity Platform, six-module architecture, EHR integrations, and implementation timeline.
Six modules cover the claim lifecycle: Eligibility AI, Prior Authorization AI, Coding Studio, AR & Denial Management, Appeals AI and Performance AI. Coding Studio includes extraction, AI accelerated coding and automated billing upload. Specialty applications extend the suite where payer logic is specialty-specific.
Every claim pre-coded before a human touches it.
See Coding Studio in action on your own charts or speak with our team.
Direct Business Development Inquiry
bizdev@grelinhealth.com