The ASP-RCM AI Suite. Every vendor says “AI.” We’ll show you the model card.
AI in revenue cycle is now table stakes. Trustworthy AI is the moat. Six capability clusters, eight production models, one credentialed human gate. Every model has a published evaluation cadence behind it. No black boxes. No “agentic” theater.
People run judgment.
Evaluators run trust.
See ASP Genie in action.
Three minutes of the actual product working on real RCM tasks. No animation, no roadmap slides, no fake screens. Live walkthrough.
32 pages of AI for revenue cycle, without the hype.
Below: every AI capability we operate, every vendor-evaluation framework we use, every specialty-specific AI playbook, and the trust questions we recommend asking any AI vendor. No vendor names in the evaluation pages. Buyer-perspective only.
The market sells AI like it’s the answer. ASP-RCM sells the governance around it.
In 2024, “does it have AI” was a buying question. In 2026, it isn’t. Every RCM vendor on your shortlist now claims AI on every screen of their pitch deck. The interesting question moved.
The question that matters now: can you trust the output enough to bill against it? That answer doesn’t live in a model name or a parameter count. It lives in the human gate, the eval cadence, and the audit trail.
That’s the page you’re reading. This isn't a feature list. It's a governance brief for the AI we run on your revenue.
Three questions every CFO should ask any AI-RCM vendor.
If a vendor can’t answer all three with a straight face, they’re selling you a demo, not a system. Here’s how the market typically scores. And here’s how we score.
Eight tools, organized by what the AI actually does.
The eight tools aren’t a feature list. They’re a portfolio of six capability clusters. Each cluster solves a distinct AI problem (sequence modeling, payer rule learning, time-series surveillance, etc.). Click any model for the full deep-dive.
Real-time payer reasoning & coverage discovery
Two models running pre-visit and on every aged self-pay account. Real-time 270/271 against national payers, plus a multi-payer sweep that finds active coverage hidden in registration data. Stops eligibility-driven denials before the claim is ever built.
Multi-specialty coding with a CPC gate
Sequence-to-sequence model trained on documentation patterns across hospital E/M, surgical, OB, ortho, cardiology, behavioral health, ABA, and HCC risk-adjustment. Confidence-scored. Below threshold routes to a CPC-credentialed coder. Every complex chart, not random sampling.
Pre-submission scoring & upstream attribution
Two complementary models. The first scores every claim against payer-specific denial patterns and holds the high-risk ones. The second maps denials that did happen back to their upstream owner (registration, coding, eligibility, auth) so the same denial doesn’t come back next month.
Always-on claim status monitoring
Time-series surveillance over every submitted claim. 276/277 polling on payer-specific cadence, IVR/portal scraping fallback for payers that don’t support 276, payer-behavior baselining so anomalies surface fast. Specialists work cases, not hold lines.
Dollar-weighted routing & auditable action
Optimizer that prioritizes the AR queue by recovery probability × dollar value, not by age. Routes by specialist skill, payer, and complexity. Logs every action against every claim, compliance-grade. The work-list that finishes the work.
Daily three-way reconciliation
Match-and-resolve engine that reconciles bank deposits, lockbox files, ERAs, and posted transactions every business day. Auto-posts 835s with adjustments. Flags variances inside 24 hours, not at month-end. Compresses the close.
Eight production models. One spec sheet each.
For every model in the Suite: what it does, where the human gate sits, how it’s evaluated, and the cadence of retraining. Hover any card and tap through for the full workflow + capabilities.
Eligibility Verification AI
Real-time eligibility against national payers (commercial, Medicaid, Medicare, MA). Surfaces inactive policies, deductible/copay, prior-auth requirements, and COB order before the patient walks in.
Autonomous Coding AI
Full coding (CPT, ICD-10, HCPCS, modifiers, sequencing) across hospital E/M, surgical, OB, ortho, cardiology, behavioral health, ABA, and HCC risk-adjustment. Confidence-scored per chart.
Denial Prediction AI
Pre-submission scoring of every claim against payer-specific denial patterns. Surfaces missing modifiers, NDCs, units, auth gaps, and medical-necessity risk. Each one ships with a fix suggestion, not just a risk score.
Insurance Discovery AI
Finds active coverage hidden in self-pay accounts (Medicaid retro-eligibility, COBRA, secondary, tertiary) via demographic + SSN multi-payer sweep. Daily re-sweep on aged AR.
Claim Status Surveillance
Continuous surveillance across the claim lifecycle. 276/277 polling on payer cadence, IVR/portal scraping fallback, payer-behavior baselining, aging-bucket triggers. Routes only human-needed cases to specialists.
AR Workflow Engine
Optimizer that prioritizes the queue by recovery probability × dollar value. Routes by skill, specialty, payer, complexity. Logs every action with timestamp and actor for a compliance-grade audit trail per claim.
Denial Root-Cause Analytics
Maps every denial past CARC/RARC code into its upstream owner: registration, coding, eligibility, auth, or payer policy. Detects repeat-denial patterns across provider × payer × code. Fix at source, not at appeal.
Cash Reconciliation AI
Daily three-way reconciliation across bank deposits, ERA/EFT, and posted transactions. Auto-posts 835s with adjustments + contractual write-offs. Variances flagged inside 24 hours, not at month-end.
The four kinds of vendor on your shortlist. And which one we are.
Every AI-RCM vendor falls into one of four archetypes, and each archetype has a structural gap. We’re calling the gaps out by category, not by name. Diligence the rest yourself.
The part of the AI conversation most vendors skip.
Independent audit cadence, role-defined human gates, model-retraining policy, and what happens when the AI is wrong. This is the section that closes with a security team.
Quarterly external CPC review
An external CPC firm pulls a meaningful sample of charts the AI coded and reviews them blind. Findings publish to client leadership and feed back into model retraining. No marking your own homework.
cadence: quarterlyDefined credential per layer
Coding gate: CPC. Eligibility/discovery gate: Patient Access lead. AR escalations: Senior AR lead. Compliance-sensitive accounts: Senior partner + Compliance Officer. Every gate is named and credentialed.
CPC · CRCR · CCS-P · COCModels stay current with payers
Denial prediction retrains weekly on your 835 remits. Eligibility heuristics drift-checked monthly. Coding models updated against quarterly CPC audit findings. Reason-code taxonomy refreshed on payer policy bulletins.
weekly · monthly · quarterlyHIPAA, SOC 2 Type 2, ISO 27001, HITECH
U.S. data residency for production claim data. PHI access logged at the user/action level. Independent SOC 2 Type 2 audit annually. ISO 27001 certified ISMS. Model training never on identifiable PHI.
U.S. residency · audited annuallyNamed escalation path
Every account has a written SLA on response time and a named senior partner accountable for outcome. AI errors caught at the gate go back into retraining; AI errors that reached a payer get worked, root-caused, and reported in the QBR.
SLA in 90 days · named partnerThe autonomy lines we won’t cross
No AI auto-write-offs. No AI auto-appeals. No AI auto-refunds. No coding submitted without a CPC gate on the charts that matter. No model output presented to a payer without a human-attributable action log behind it.
human-in-the-loop, by policyHow a chart actually moves through the Suite, with the gate visible.
Coding example · M-02Want to see the Suite on your data?
30-minute walk: a senior partner runs your last 90 days of denials and remits through the Suite and shows you which models would have caught what. No demo theater, no NDA needed.
Pick a slot. No SDR triage.
Talk to a senior ASP-RCM partner about applying AI inside your RCM. 30 minutes. Bring a candidate use case. We will walk through pilot scope, exit criteria, and the math behind production deployment.
30 minutes with a senior partner.
Free. Same calendar a senior partner and directors live in. The next available slots are below.