RCM Workflow Application · Grelin Platform

Lowest cost per claim. Compounding margin per client

RCM.ai automates the work RCM billing companies do every day. Built on the Grelin Platform, our AI software transforms manual claim processing into a high-margin autonomous operation.

RCM.ai — lowest cost per claim, compounding margin per client, autonomous RCM operations

98%

Clean Claim Ratio

<3%

Denial Rate

<3%

Cost to Collect

Numbers that hold up under operator scrutiny.

RCM.ai is built on workflows already proven in production environments, with performance backed by existing operational results.

Claim Integrity

98%

Clean Claim Ratio (First-pass)

Below 3%

Denial Rate (Avg 5-10%)

90%

Front-End Rejection Capture

95-97%

First-Pass Resolution Rate

Financial Efficiency

96-99%

Net Collection Rate

25-35

Days in Accounts Receivable

Under 3%

Cost to Collect (% of revenue)

92-95%

Gross Collection Rate

Operational Performance

Charge Entry Accuracy99%
Coding Accuracy97-99%
Claim Submission TAT<24 hrs
Denial Recovery Rate85-90%
Automation Rate60-80%
Manual Intervention Rate<20%

The industry is shifting from reactive to predictive. RCM.ai is built for what comes next.

“Clearinghouses become rails. Intelligence becomes the product. The value is no longer in the transmission of data, but in the autonomous accuracy of its creation.”

RCM.ai Perspective

The Payer Arms Race

Payers are already using AI to find reasons to deny. If your billing operation is still using manual humans to fight algorithms, you have already lost. We provide the counter-algorithm.

Autonomous Operations

True margin growth doesn't come from hiring cheaper offshore labor. It comes from removing the labor requirement entirely through high-fidelity AI charge entry and predictive eligibility.

A productized AI engine for the modern RCM shop.

RCM.ai isn't just another dashboard. It is a sovereign software application that lives within your workflow. Built on the enterprise-grade Grelin Platform, it integrates with your existing EHRs to automate the most labor-intensive parts of the revenue cycle.

Grelin Core

Secure, scalable AI infrastructure built for healthcare scale.

Neural Logic

Proprietary models trained on millions of clean claim patterns.

RCM.ai autonomous claim workflow visualization

“RCM.ai allowed us to scale 400% without adding a single headcount to our coding team.”

Chart.ai — clinical documentation intelligence
Specialized Application

Inside the RCM.ai Ecosystem: Chart.ai

The clinical documentation intelligence layer that identifies documentation, coding, and compliance gaps before claims are submitted. Powered by sovereign LLMs, Chart.ai ensures every encounter is reflected with clinical precision.

Explore Chart.ai

The Autonomous Workflow

Five stages from encounter to cash, powered by AI.

1. Data Intake

Direct EHR scraping and HL7 feed ingestion.

2. Patient Demo

Auto-verification of demographics & insurance.

3. Visit Creation

Semantic mapping of encounters to claim forms.

4. AI Charge Entry

Neural coding engine determines CPT/ICD-10 codes.

5. Claim Submission

Direct transmission to clearinghouses or payers.

Case Study

An RCM company processing 2,400 daily encounters implemented RCM.ai across their specialty accounts.

88%

Human Free

12hrs

Reduced TAT

Before RCM.ai

12 FTEs required for charge entry
8.5% initial denial rate
42 day average AR cycle

After RCM.ai

2 FTEs for QA/Exceptions
2.1% initial denial rate
28 day average AR cycle

Purpose-built for your operational model.

Multi-Specialty RCM

Multi-Specialty RCM

Handle varied coding requirements across 40+ specialties with AI engine.

MSO-Owned

MSO-Owned

Standardize financial outcomes across disparate acquired practices instantly.

Specialty-Focused

Specialty-Focused

Deep-model training for complex fields like Pathology or Cardiology.

Offshore Ops

Offshore Ops

Supercharge offshore teams with AI-driven quality assurance and productivity.

Built to fit inside an RCM operation.

Supported Platforms

AthenaHealthEpicCernerMeditechNextGeneClinicalWorks

Integration Methods

Bi-directional APIs
SFTP & HL7 Data Drops
RPA Emulation
Real-time DB Mirroring
Speed that changes everything — move money across borders faster
Enterprise security — HIPAA Compliant, SOC2 Type II, RBAC Control, Audit Logging

Lower cost per claim is the only RCM metric that compounds.

Every dollar saved in processing is a dollar of pure profit. While others compete on labor costs, RCM.ai users compete on intelligence efficiency. In a market of thinning margins, the autonomous operator is the only one who survives.

Trusted by 200+ Healthcare Operators

Ready to automate?

Join the leading RCM companies shifting to predictive, autonomous revenue management. Start your assessment today.

RCM.ai

Frequently Asked Questions

What is RCM.ai?

RCM.ai is Grelin's revenue cycle application for providers. It validates claims before submission and automates the checks that otherwise create denial rework, so billing teams work exceptions instead of reworking preventable failures.

What modules run under RCM.ai?

Four. Eligibility.ai verifies coverage before service. PriorAuth.ai identifies when prior authorization is required and assembles what the payer needs. Chart.ai validates that documentation supports the claim. Performance.ai tracks where claims fail and why, so the upstream fix is visible.

What is Eligibility.ai?

Eligibility.ai verifies a patient's coverage before service is delivered. Eligibility errors made at registration surface weeks later as denials, after the cost of fixing them has multiplied. Verifying at the front of the process removes the largest single source of preventable denials.

What is PriorAuth.ai?

PriorAuth.ai identifies when a payer requires prior authorization and assembles the clinical documentation the payer needs to approve it. Missed authorizations are among the most expensive denials because the service has already been delivered when the denial arrives.

Will RCM.ai work with our existing billing system?

Yes. RCM.ai integrates with the practice management and billing systems already in place. It runs its checks against claims before they leave and returns results into the existing workflow. Nothing about the current system has to be replaced to add validation in front of it.

How is RCM.ai different from outsourcing our billing?

Outsourcing moves the same manual work to different people. RCM.ai removes the work by preventing the failures that create it. The billing team stays, the systems stay, and the rework volume drops because fewer bad claims are created in the first place.

What results should we expect from RCM.ai?

Fewer denials, cleaner first-pass claims, and less rework, because errors get caught before submission instead of after. The size of the improvement depends on where a given operation starts. Grelin measures the baseline first, then tracks the change against it.