For Medical Billing and RCM Firm Owners

Your billers are spending 40 minutes per appeal on denials that AI can categorize and draft in seconds. They still approve every letter. You collect more. The audit trail writes itself.

ClearPass RCM reads the denial reason code, identifies the root cause, and drafts the appeal letter. Your biller reviews it, makes any edits, and approves before it goes out. Nothing submits without a human sign-off. Every decision is logged with a timestamp your firm can produce in any payer audit.

Book a Free Fit Call → See the demo below

Fixed-fee diagnostic. Written scope before any build begins. BAA signed before any data is accessed.

HIPAA-compliant infrastructure  ·  BAA in place before any PHI is touched  ·  Human approval required before every submission  ·  Full audit trail on every AI action

ClearPass RCM Denial Worklist · Illustrative
Denials Received Today 34
AI Drafts Ready for Review 34
Submitted Without Biller Approval 0
Audit Trail Complete

Illustrative, not a client result. Shows the governance model: AI drafts, biller approves before submission, every action is audited.

01 The Denial Reality

Payers use AI to deny faster. Your billers are still responding by hand.

Your denial rate is running between 11.8% and 19%. That means roughly one in eight claims you submit comes back and sits in your appeals queue. Each one needs someone to read the reason code, look up the payer policy, draft the appeal, and submit it through the portal. Your best biller takes 20 minutes. A junior biller takes 45. If you are processing 200 appeals a month, that is 70-plus hours of biller time on work that follows a repeatable pattern.

The math gets worse when you factor in what does not get worked. Only 35% of denied claims are ever fixed and resubmitted. [BillingParadise] The rest age out past the 90-day filing limit and become permanent revenue loss. Not because your billers failed. Because there are not enough hours.

CMS now requires human attestation before submission on any AI-assisted coding decision. That requirement is the reason fully autonomous billing tools create compliance exposure. It is also the reason a governed system, one where AI does the pattern work and your biller signs off, is the only defensible way to add AI to a claims workflow.

"We're drowning in denials. My best billers spend their afternoons writing appeal letters for the same six reason codes, every day."

"The appeals queue is growing faster than we can work it. Denied claims are aging past the 90-day limit."

"If a payer audits us, can I show who reviewed every AI recommendation and when? Right now: no."

"The enterprise platforms are priced for hospital systems. We bill $8M a year, not $800M."

$25.7B

Annual cost of claims adjudication to US healthcare providers in 2023, up 23% year over year. [S-Premier23]

Premier Inc. citation

35%

Share of denied claims that are ever fixed and resubmitted. The other 65% age out. [BillingParadise]

BillingParadise citation

$25-$117

Cost to rework a single denied claim, not counting the claims that age out entirely. [MGMA estimate]

MGMA citation

11.8%

Industry average denial rate in 2024. 41% of providers are above 10%. [Experian State of Claims 2025]

Experian citation

All figures are third-party citations, not All About AI client results. No guarantee of results. Your actual outcomes depend on your denial rate, payer mix, claim volume, and implementation scope.

02 ClearPass RCM

Four modules. One workflow. Every claim reviewed by a human before it moves.

Here is what we build for you.

MODULE 01

Denial Intake and AI Analysis

When a denial comes back on your 835 remittance file, the system reads the CARC reason code automatically, maps it to a root cause category (missing modifier, eligibility error, documentation gap, authorization issue, coding mismatch, timely filing), and flags the corrective action. No biller has to look up CO-97 in the CMS NCCI manual. The AI has already done it and surfaced the specific payer policy reference.

✓ Biller-reviewed
MODULE 02

Appeal Letter Drafting

The AI drafts an appeal letter referencing the specific denial reason, the applicable payer policy section, and the corrective action required. Your biller opens the draft, edits any details, and approves. From denial receipt to draft-ready takes seconds. From draft-ready to biller approval takes minutes, not the 30-45 minutes of starting from a blank document. Appeal quality is consistent across your whole team, not dependent on who is working the queue that day.

✓ Biller-approved before send
MODULE 03

Biller Approval Inbox

Every denial draft goes into the biller's queue before anything leaves the building. The queue is prioritized by dollar amount and 90-day filing deadline proximity. The biller sees the AI's analysis, the payer policy reference, and the draft letter in one view. One click to approve. One click to edit and approve. One click to escalate to a supervisor. Nothing bypasses this step. The architecture does not allow it.

✓ Human-controlled
MODULE 04

HIPAA-Compliant Audit Trail

Every action is logged: denial received, AI analysis completed, draft generated, biller review confirmed, appeal submitted. The log includes the biller's name, the timestamp, and the specific action taken. It exports on demand as a PDF. When a payer audits a claim from six months ago, you pull the record in under a minute and show a complete chain of human review. That is the compliance documentation CMS and HHS OIG require for any AI-assisted claims workflow.

✓ PHI-protected
MODULE 05 / COMPANION

Pre-Submission Claim Scrubbing

Before a claim hits the clearinghouse, the AI checks it against your top-payer denial-risk rules. Missing modifiers, eligibility mismatches, documentation gaps, prior auth requirements. High-risk claims surface in the biller inbox with a specific flag before they go out. Clean claims proceed with a light biller confirmation. This module reduces the denial volume that feeds into the appeal workflow above. Both modules are available together; the Assessment determines which to deploy first.

✓ Pre-submission defense
03 See It Work

Watch a denial become an approved appeal.

A payer just returned a claim denied under CARC code CO-97. Your biller would normally spend 30-40 minutes researching the payer policy, drafting the appeal, and logging the submission. Here is what the same workflow looks like inside ClearPass RCM.

This is a simulated demo using fictional patient data. It shows the governance workflow only, not a client outcome.

⚠ SIMULATED DEMO DATA. Patient "J. Sample" and all identifiers are fictional. No PHI. This demo shows the governance workflow only.
1. Denial Arrives 2. AI Analysis 3. Draft Letter 4. Biller Approves 5. Audit Trail
Denial Inbox PENDING REVIEW
Denial Received
Patient J. Sample (ID: JS-004291) DOS 04/14/2026 Procedure 99214 - Office Visit, Moderate Complexity Payer Unified Health Partners Reason Code CO-97 Description Payment is included in the allowance for another service/procedure Amount $187.00 Received 06-12-2026 | 07:14 AM
AI ANALYSIS IN PROGRESS
AI Analysis ANALYSIS COMPLETE
● Reason Code Analysis 
REASON CODE: CO-97
INTERPRETATION: Payer bundled 99214 with same-day procedure
code 93000 (ECG). CMS NCCI Edit: 93000 is a column-2 code
paired with 99214. Modifier 25 is required to unbundle the
E&M visit when a separate, significant E&M is documented.

ROOT CAUSE IDENTIFIED: Modifier 25 missing on 99214.

SUGGESTED CORRECTION: Add modifier 25 to 99214, confirming
a separate and significant E&M service was performed above
and beyond the ECG interpretation. Attach provider note
from DOS 04/14/2026 confirming distinct decision-making.

APPEAL RECOMMENDED: Yes. Modifier 25 is documented in
the provider note. Estimated appeal success likelihood:
HIGH based on payer history for this code pair.
[Illustrative confidence signal. Not a guarantee of outcome.]
AI-Drafted Appeal Letter DRAFT READY
This draft has not been sent. Your biller must review and approve before any letter leaves the system.
Denial Inbox APPEAL SUBMITTED
✓

APPEAL SUBMITTED TO UNIFIED HEALTH PARTNERS

Claim JS-004291 | CO-97 denial appeal dispatched via payer portal. Audit trail entry written.

2h 33m AI-to-submission
0 Sent without review
1 Human attestations
Audit Trail EXPORTABLE
Waiting for denial to be opened...
▼ Full Log: Claim JS-004291 | CO-97 Denial Appeal 
06-12-2026 | 07:14 AM  Denial received. CO-97.
06-12-2026 | 07:14 AM  AI analysis initiated.
06-12-2026 | 07:14 AM  Root cause: missing Modifier 25 on 99214.
06-12-2026 | 07:14 AM  Appeal draft generated. Policy ref: Sec. 7.3.
06-12-2026 | 09:47 AM  Draft reviewed by [Demo Biller].
06-12-2026 | 09:47 AM  Biller attestation confirmed. Docs verified.
06-12-2026 | 09:47 AM  Appeal submitted via payer portal.

Status: SUBMITTED
Human review: CONFIRMED
AI-to-submission time: 2h 33m
Manual process equivalent: 30-45 min biller labor
[SIMULATED DEMO DATA]

This log exports as a PDF for payer audit response or CMS review in one click.

Simulated demo data. Fictional patient, payer, and claim identifiers. No PHI involved.

This is what your billers interact with every day. The AI handles the pattern recognition. Your team handles the judgment. The audit trail captures everything. If a payer audits this claim next year, the log is waiting.

Every claim follows this trail. The biller's approval is permanent record. If a payer audits this claim six months from now, that log is waiting.

04 What We Can and Cannot Claim

Honest about what this system does.

Medical billing is a regulated business and vague promises get billing companies into trouble. Here is what ClearPass RCM does, precisely.

What it does

  • Reads denial reason codes from your 835 remittance data and maps them to root causes
  • Drafts appeal letters citing the specific payer policy and corrective action
  • Routes every draft to a biller for review and approval before submission
  • Logs every action with a timestamp your firm can produce in any audit
  • Monitors denial patterns by payer and reason code so you can see where volume is concentrating

What it does not do

  • Submit anything without a documented biller review. This is enforced by the architecture, not a policy.
  • Make clinical coding decisions. Coding remains the responsibility of your licensed staff.
  • Guarantee a specific denial rate reduction. Results depend on your payer mix, claim volume, and denial root causes. The Assessment models this with your actual data.
  • Replace your HIPAA compliance officer or healthcare counsel. We build the technical infrastructure. Your team confirms it satisfies your specific obligations.

The HIPAA requirement

Before any PHI enters the system, a Business Associate Agreement is in place. The system runs on HIPAA-eligible cloud infrastructure. PHI is handled under minimum-necessary standards. The audit trail meets HHS OIG documentation requirements for AI-assisted coding workflows.

05 Illustrative Workflow

Monday morning. 847 claims in the queue. Here is how the morning runs.

Without the system, your billers work through those 847 claims manually. Most are clean. 62 have denial-risk flags your team may or may not catch before submission.

Note: Illustrative workflow, not a documented client result. Shown to demonstrate the governance model only.

7:00 AM: Overnight claim batch pulled from the practice management system. 785 standard encounters plus 62 flagged during the overnight AI scrub. All 847 reviewed against the top-5-payer denial rules configured at onboarding.
7:01 AM: Biller opens the approval inbox. The 62 high-risk claims are surfaced first, prioritized by denial risk score. Each one shows the AI's finding, the specific rule it triggered, and the suggested correction. Example: "CO-97 risk. Procedure 99214 billed with modifier 25 but no E&M note attached. Attach supporting documentation before submission."
7:01 to 8:20 AM: Biller works through the 62 flagged claims. 48 are corrected per the AI's suggestion and approved. 11 are escalated to a senior coder. 3 are confirmed clean (the AI flag was a known edge case for that payer); biller overrides and notes the reason.
8:21 AM: The 785 standard claims plus 48 corrected claims are released for submission. The 11 senior-coder escalations hold pending review. Zero claims submitted without documented biller review.
8:22 AM · 833 CLAIMS SUBMITTED. Audit log entries written for all 847: AI scrub finding, biller review action, submission decision, timestamp. HIPAA audit trail complete for the batch.
Without the system: Billers review 847 claims manually in sequence. The 62 denial-risk claims may or may not be caught, depending on biller workload and knowledge of each payer's current rules. Some submit dirty, come back denied, and the appeals queue grows.
06 How It Works

Assess · Build · Operate

Three phases. You only commit to the Assessment first. Every engagement starts there: scoped, priced, and in writing before any build begins.

01

Denial and Workflow Assessment

We pull your denial patterns by reason code and payer: where the volume is, what the root causes are, and what a realistic scrubbing model would catch at your claim volume. We map your manual workflow burden: hours per biller per week on pre-submission review, denial management, and appeals drafting. We model your cost-to-collect improvement opportunity with your actual data. You get a HIPAA-scoped deployment roadmap and a fixed implementation price. Full picture before any build begins.

02

ClearPass RCM Build

We build the denial intake and AI analysis model, configure payer-specific root cause mapping for your top payers, set up the appeal letter drafting module, install the biller approval inbox, wire in the HIPAA-compliant audit trail, and connect your clearinghouse submission integration (Availity, Office Ally, or your existing clearinghouse). HIPAA infrastructure (BAA, compliant cloud, data minimization) is set up before any PHI is processed. Scope is confirmed after the Assessment.

03

Managed RCM AI Ops

Payer rules change every quarter. The retainer covers ongoing rule updates, denial-pattern drift monitoring, model re-calibration when payer behavior shifts, monthly audit log review, and new-payer onboarding when your client base expands. When CMS publishes a billing update or a major payer changes a PA requirement, the scrubbing rules are updated before the next claim batch runs, not after you see the denial spike.

07 Right Fit

Honest about when this is the right call, and when it isn't.

This is built for you if…

  • Medical billing or RCM firm, $3M to $20M revenue, serving physician practices, specialty clinics, or employed-practice groups
  • Denial rate above 8-10% and growing, with claim volume that makes thorough manual pre-submission review impossible at current headcount
  • Owner or ops director who wants a documented human-review trail on every coding decision as a risk-management best practice and defensible compliance record
  • Aware of enterprise AI RCM platforms (Thoughtful AI, Waystar) but not at the scale where those platforms are practical to deploy independently
  • Appeals queue growing faster than your team can work it: you want denial categorization and appeal drafting off your billers' plates

This is NOT for you if…

  • You want fully autonomous claim submission with no human review. Regulatory scrutiny on AI-assisted coding is real and growing. We build human approval into the architecture as a risk-management requirement, not an afterthought.
  • Your primary payer is Medicare Advantage with portal-only prior auth. Prior auth automation is deferred to the retainer phase due to payer-specific portal complexity.
  • Your clients are on Epic. Epic's restrictive API access makes integration significantly more complex. Better fits for the initial build: athenahealth, Kareo/Tebra, AdvancedMD, or eClinicalWorks.
  • You need a healthcare compliance consultant. We build technology infrastructure. Your HIPAA Privacy Officer and counsel confirm whether the implementation satisfies your specific obligations.
08 FAQ

Questions RCM owners and ops directors ask before they sign.

The system runs on HIPAA-eligible cloud infrastructure (AWS or Azure HIPAA-eligible services) with a Business Associate Agreement available and in place before any PHI is processed. Data is handled under minimum-necessary standards: the AI processes what it needs to complete the claim review, nothing more. Access controls are role-based: billers see claims in their assigned queue only. All PHI processing is logged in the audit trail. The BAA, data flow documentation, and access control configurations are delivered as part of the build documentation. We do not train AI models on your clients' patient data. [Not legal advice. Your HIPAA Privacy Officer and counsel confirm adequacy for your specific obligations.]
The biller always has the final call. The AI reads the remittance reason code, identifies the probable root cause, and drafts an appeal letter. The biller reviews in the approval inbox and makes the submission decision: approve, edit and approve, or escalate. Nothing submits without a documented biller review. This is a deliberate design principle: regulatory scrutiny on AI-assisted coding is real, and keeping a human in the decision loop with a complete audit trail is the right way to manage that risk.
Clearinghouse submission via Availity and Office Ally are our primary integration targets, both have documented APIs and sandbox environments. For practice management systems, athenahealth, Kareo (now Tebra), AdvancedMD, and eClinicalWorks are the best fits for the initial build. Epic is explicitly higher-complexity due to restrictive API access; if your clients are on Epic, we discuss this in the Assessment and scope accordingly. EHR and PM compatibility is confirmed and priced in the Assessment, not discovered mid-build.
The 2024 Change Healthcare outage showed what single-point-of-failure billing infrastructure costs. Our system design builds in clearinghouse redundancy: primary and backup submission paths so that a clearinghouse outage triggers a failover rather than a billing stoppage. Claims in the approval queue hold until the submission path is confirmed. The audit log captures the hold and re-submission. We scope the specific clearinghouse architecture in the Assessment based on your payer mix and current clearinghouse relationships.
This is exactly what the Managed RCM AI Ops retainer covers. Payer-specific billing policy changes, CMS updates, modifier rule changes, and plan-specific coverage policy updates are monitored continuously. When a rule change affects the denial model, we update the configuration before the next claim batch. Denial-pattern drift, when the AI's root cause mapping starts diverging from actual denial outcomes, triggers a re-calibration. The retainer is structured around the reality that the rules never stop changing; that is why this is the stickiest AI ops relationship we run.
The Assessment is a fixed-fee diagnostic. Implementation is a scoped project. Managed RCM AI Ops is a monthly retainer. Pricing is confirmed on a call and in writing before any work begins. The ROI basis we model in the Assessment: what is your current denial rate, what denial volume would the system plausibly recover at your claim volume, and what is the cash-flow value of those claims clearing on appeal vs. aging out past the 90-day limit. We model this with your actual numbers, not industry averages. No guarantees of specific outcomes.
Prior authorization automation is deferred to the retainer phase; it is explicitly scoped out of the initial build. Each payer has a different portal, API availability is inconsistent, and payer rules on prior auth change without notice. The initial implementation focuses on denial management and appeal drafting, where we can deliver reliable results within a predictable scope. Prior auth automation is introduced in the managed ops phase once the base system has delivered measurable results and the payer-specific integration complexity has been mapped.

Start with a free fit call.

Find out what your denial volume is costing you per month.

The Denial and Workflow Assessment pulls your denial patterns by reason code and payer, maps your biller labor burden on appeals, and models your cost-to-collect improvement with your actual numbers. You get a HIPAA-scoped deployment roadmap and a fixed implementation price. Full picture before any build begins.

Book a Free Fit Call →

Fixed-fee diagnostic. Written scope before any build begins. BAA signed before any data is accessed.

Compliance & Disclosures

No guarantee of results: Statistics on this page are third-party citations, not All About AI client results. The $25.7B claims adjudication cost figure is from Premier Inc. research (2023 data). The 11.8% average denial rate is from Experian State of Claims 2025. The 35% resubmission rate is from BillingParadise. The $25-$117 per-claim rework cost is from MGMA. Your firm's actual denial reduction and ROI depend on your current denial rate, payer mix, claim volume, biller workflow, and implementation scope. Illustrative ROI scenarios are for demonstration only.

HIPAA compliance: All About AI is a technology implementation firm. We build HIPAA-aligned technical infrastructure (HIPAA-eligible cloud, BAA, audit logs, access controls, data minimization). We are not a HIPAA compliance consultant or attorney. Your HIPAA Privacy Officer and counsel determine whether the implementation satisfies your specific HIPAA obligations, payer contract requirements, and CMS conditions of participation. We coordinate with your compliance team during implementation.

Clinical scope: This system is scoped strictly to administrative billing and revenue cycle workflows. It does not touch clinical decision-making, patient care, clinical documentation beyond billing-relevant fields, or any workflow that constitutes the practice of medicine. We build the back-office billing infrastructure; clinical decisions remain entirely with licensed healthcare providers.

Human review requirement: The biller approval queue is not an optional feature. Human review of AI-assisted coding decisions is a core risk-management design principle. The architecture enforces it on every claim: nothing submits without a documented human review in the audit log.

Demo disclosure: The interactive demo on this page uses entirely fictional data. Patient "J. Sample", Claim ID JS-004291, and payer "Unified Health Partners" are invented for demonstration purposes only. No PHI was used. The demo shows the governance workflow only, not any client outcome.

Sources: [S-Premier23] Premier Inc. "Claims Adjudication Costs Providers $25.7 Billion" 2023; [S-McKinsey24] McKinsey "Race to a Touchless Revenue Cycle" 2024; [S-EY25] EY AI-Driven RCM in Healthcare; [S-RevEnterprises25] Revenue Enterprises AI in Healthcare RCM 2025; [S-ITECS26] ITECS HIPAA Compliance in the Age of AI 2026; [BillingParadise] BillingParadise denial resubmission rate estimate; [MGMA] Medical Group Management Association claims rework cost estimate; [Experian25] Experian Health State of Claims 2025.