Claim Integrity Platform

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.

RCM.ai — AI revenue cycle management enforced before the claim exists

97–99%

Coding Accuracy

98%

Clean Claim Ratio

< 3%

Denial Rate

The Platform Premise

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

Timing of Enforcement
Errors discovered after claim submission, rejection, or denial
Enforced pre-service & pre-claim before submission exists
Payer Rule Validation
Manual cross-checking per payer by individual billers after denials
Automated real-time payer & clinical rule engine applied during coding
Cost Per Claim
$3.50 – $7.00+ due to manual rework, phone calls, and appeal filings
$0.80 – $1.20 automated cost profile with 60–80% manual effort reduction
Days in AR (DSO)
45 – 65+ Days awaiting clearinghouse & payer adjudication loops
22 – 30 Days driven by first-pass clean claim accuracy
Denial Pattern Learning
Disjointed spreadsheets; same errors repeated across 40+ specialties
Suite-wide Performance AI flags root-cause process failures automatically
The Six-Module Architecture

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.

MODULE 03 OF 06CORE CODING ENGINE

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.

What actually happens in production

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.

Platform Pipeline Blueprint

Technical pipeline specifications

How inputs, AI validation engines, and outputs connect across all six modules to ensure zero claim rework.

End-to-End Claim Lifecycle Data Architecture
#Lifecycle ModuleInput ArtifactAI Validation EngineOutput ArtifactSystem Touchpoint
01Eligibility AIPatient Registration / Scheduling feedReal-time Payer Clearinghouse & 270/271 EngineActive Coverage, Deductible & Copay StatusPre-service PMS / EHR Intake
02Prior Authorization AIOrder / Clinical DocumentationPayer Policy Rules & Clinical Evidence MatcherAssembled Auth Packet & Approval TrackingPre-care Authorization Portal
03Coding StudioSuperbill / Clinical Chart (PDF, Text, EHR)grelin.ai Coding Engine (ICD-10, CPT, Modifiers)Confirmed Code Set + Evidence TrailOffice Ally / Clearinghouse Direct Upload
04AR & Denial Management835 ERA / Payer Rejection NoticeRoot-Cause Categorizer & Likelihood-of-Recovery AIPrioritized Collector Worklists & Auto-RemediationsBilling Office AR Dashboard
05Appeals AIDenied Claim & Original Medical RecordPayer Policy Appeal Drafter & Case Law IndexerEvidence-Attached Formal Appeal LetterPayer Appeals Filing System
06Performance AISuite-Wide Claim Lifecycle LogsRCM Analytics & Process Failure Pattern LearnerExecutive Revenue Dashboards & Root-Cause ReportsExecutive Management Portal
Clinical Specialty Integrity

Specialty applications

RCM.ai extends its core 6-module engine with dedicated specialty rulepacks tailored to high-denial clinical domains.

Wound.ai — Wound Care & Debridement
Platform Proof Command Dashboard

Claim Integrity & Financial Metrics

Rolling up per-module proofs across the full RCM.ai claim lifecycle.

Claim Integrity & Front-End

Claim Integrity & Front-End

Financial Efficiency & AR

Financial Efficiency & AR

Operational Automation

Operational Automation

Claim Integrity & Front-EndAudited Production Results

90%

Front-end rejection capture (Eligibility & Prior Auth AI)

Enforced via RCM.ai Upstream Engine

97–99%

Coding accuracy across 40+ specialties

Enforced via RCM.ai Upstream Engine

98%

Clean claim ratio submitted in < 24 hours

Enforced via RCM.ai Upstream Engine
Target Operating Models

Use cases

Configured to match your organization's operating model and specialty footprint.

Full Six-Module Suite

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.

Validated Workflow Configuration
Front-End Standardization

MSO-owned practice consolidation

Eligibility AI and Prior Authorization AI standardize front-end behavior across acquired practices first before harmonizing billing.

Validated Workflow Configuration
Specialty Depth

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.

Validated Workflow Configuration
Scale Without Headcount

Offshore operations augmentation

Coding Studio and AR & Denial Management raise throughput per person, so scale stops meaning headcount expansion.

Validated Workflow Configuration
Enterprise Production Case Study

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

Enterprise Integration & Security Hub

Integrations & Enterprise Security

RCM.ai connects directly to your existing EHR, PMS, and clearinghouse infrastructure without requiring expensive Rip-and-Replace migrations.

Epic Systems

BIDIRECTIONAL FHIR / HL7 V2

Protocol: API / Direct CAD

Oracle Cerner

MILLENNIUM API CERTIFIED

Protocol: FHIR R4 / Smart-on-FHIR

AthenaHealth

NATIVE PARTNER NETWORK

Protocol: RESTful Webhooks

eClinicalWorks

ECW CLOUD INTEGRATED

Protocol: 270/271 & 837/835 EDI

NextGen Healthcare

EHR + PM CONNECTOR

Protocol: HL7 Engine

ModMed (EMA)

SPECIALTY PM ADAPTER

Protocol: Rest API Pipeline

Office Ally

DIRECT CLEARINGHOUSE UPLOAD

Protocol: SFTP & 837 Payer EDI

Custom / SFTP

UNIVERSAL FLAT FILE READER

Protocol: 256-bit Encrypted SFTP

Platform Questions & Answers

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.

Closing Call to Action

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