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.

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

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.aiThe 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
After RCM.ai
Purpose-built for your operational model.

Multi-Specialty RCM
Handle varied coding requirements across 40+ specialties with AI engine.

MSO-Owned
Standardize financial outcomes across disparate acquired practices instantly.

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

Offshore Ops
Supercharge offshore teams with AI-driven quality assurance and productivity.
Built to fit inside an RCM operation.
Supported Platforms
Integration Methods


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.
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.