98%
Multi-specialty Group — AR days 52 to 14.
Award-Winning RCM Platform Development
The Full Revenue Cycle, Every Step Automated by AI Agents
Data flows from scheduling to payment, no re-entry.
Patient Scheduling & Pre-Registration
Capture insurance and demographic data upfront, flag visits needing prior auth, and get billing right before the encounter.
Insurance Eligibility & Benefits Verification
Real-time eligibility at scheduling and check-in — deductible, copay, coinsurance estimated accurately upfront.
Prior Authorization Management
Flag which procedures need authorization, pre-populate requests from clinical docs, and alert before expiration.
Charge Capture
Automated capture from clinical documentation with discrepancy flagging. Mobile entry fast enough staff use it.
Medical Coding & Documentation Review
AI-assisted ICD-10 and CPT suggestions, gaps flagged before audit, and provider queries that fix docs pre-claim.
Claims Scrubbing & Validation
Pre-submission validation against payer rules. Failed claims are held and routed for correction, not denied.
Claims Submission & Status Tracking
EDI 837 submission with real-time 277 status tracking, rejection management, and automated resubmission.
Denial Management & Appeals
ERA-based denial categorization by root cause, in-system appeal routing, and pattern reporting for the fix.
Payment Posting & Reconciliation
Automated ERA posting and EOB entry, with every payment compared to contracted rate — variances flagged.
Patient Collections & Financial Engagement
Cost estimates, statements, payment plans, and reminders calibrated to balance and history.
Contract Management & Payer Analytics
Payer terms maintained for real-time adjustment, plus analytics on underpayment and renegotiation.
6 of 12
Most Organizations Don't Have a Revenue Cycle Problem
They have six or seven smaller problems that together add up to one.
They have six or seven smaller ones that add up to one. Point solutions don't fix the handoffs between steps — where most leakage happens. An end-to-end platform fixes them.
Talk About Your RCM
End-to-End RCM Platforms We Built, Results and Case Studies
Numbers measured in production, not projected.
+22%
Oncology Practice — drug recovery up 22%.
97%
Behavioral Health — clean claims 69% to 97%.
$180K
Surgery Center — $180K/quarter recovered.
-60%
DSO Dental Group — denials down 60%.
100%
Home Health — AR days 61 to 22.
Our Process
How We Build
We design the handoffs first and build the steps around them. Drag, click a card, or use the dots to walk the approach end to end.
We Start With Your Revenue Cycle Data
Denial patterns, AR aging, write-offs first.
Every Payer's Rules Are Built In
Payer modifiers, auth, and edits built in.
The Handoffs Are the Priority
Handoffs designed first, steps built after.
AI Trained On Your Data Before Launch
Models trained on your claims pre-launch.
Integration With Your Clinical Systems Is Built In
EHR, clearinghouse, payer portals native.
We've Built Across RCM Platforms
Every setting has its own payer mix and failure points.
Specialty-aware coding and payer rules
Denial rate cut from ~19% to under 3%
Complex chemo and drug-cost capture
Authorization gaps closed at ordering
Time-based coding accuracy
Payer documentation requirements met every time
Implant and supply cost capture
Underpayment detection and recovery
Unified RCM across all locations
Group-level revenue reporting
Visit documentation tied to billing
Medicare billing compliance built in
Enterprise claim volumes
Service-line revenue analytics
Sliding-scale and grant-aware billing
Medicaid requirements by state
Full cycle without a large billing team
AI prioritization of the AR that matters
The AI Layer Across Your Revenue Cycle
Scheduling to collections, not just one step.
Denial Prediction
Trained on your denial history, scoring every claim for denial risk before submission.
Coding Intelligence
Specialty-calibrated AI reads documentation and suggests codes at your payer mix's required specificity.
Authorization Intelligence
Current payer auth rules applied at ordering, flagging procedures and meds needing prior auth.
Underpayment Detection
Every payment matched against contracted rates, surfacing underpayments with documentation to pursue recovery.
AR Prioritization
Outstanding claims scored by recovery odds, urgency, and dollar value, so staff work top AR first.
Root Cause Analytics
Denials traced to upstream causes like scheduling gaps and documentation so fixes hit the real source.
95% → 100%
A Revenue Cycle That Works Shouldn't Feel Like an Achievement
Due to Poor Data Readiness.
Collecting ninety-five percent of what you earn takes constant effort. The five percent that doesn't get collected isn't lost because the care wasn't delivered — it's lost because the infrastructure wasn't built to protect it.
Book a Discovery Call
Compliance We Build To
Compliance is a design constraint wired in from day one, not a review step before launch.
Privacy
Privacy & Data Protection
Patient data protected across every region you operate in.
Security
Security, Risk & Payments
Independently audited security and PCI-compliant payment flows.
EDI & Claims
EDI & Claims Processing
X12 transaction set and billing rules built in as maintained logic.
Coding
Coding & Reimbursement
Coding and fee-schedule standards calibrated to your payer mix.
Regulatory
Regulatory & Transparency
Built to the price-transparency and patient-protection rules.
Fraud & Abuse
Fraud, Waste & Abuse
STARK and Anti-Kickback considerations built into billing logic.
Get in touch
Let's Talk About Your RCM Platform
Thirty minutes. No pitch.
Response within 24 hours
Your data is protected & secure
Free consultation, no obligation
Frequently Asked Questions
[ 1 ]
Which parts of the revenue cycle can AI agents automate today?
Eligibility, prior auth, coding, denials, underpayments, and cash application — each with human review.
[ 2 ]
Do you replace our existing billing system or work alongside it?
Either. All 32 production agents layer onto your billing system — no rip and replace.
[ 3 ]
How is an end-to-end RCM platform different from point billing software?
Point tools automate a step. A platform connects every step, so the AI sees the full claim journey.
[ 4 ]
How long does implementation take?
Five to eight months single-specialty; ten to sixteen for enterprise, multi-specialty builds.
[ 5 ]
What happens to our existing billing data?
Claims, AR aging, payments, and balances migrate on a scope defined during discovery, not at go-live.
[ 6 ]
How does the AI get trained on our data?
Two to three years of your claims train the models before launch; they keep improving on live data.
[ 7 ]
Can the platform handle multiple specialties with different billing requirements?
Yes. Specialty coding, payer rules, and documentation configure inside one platform, not separate systems.
[ 8 ]
Who owns the platform?
You do. Full IP transfer at close — code, docs, models. No per-claim fees, no volume licensing.
Global presence
