90% of Denials Are Preventable
AI closes the prevention gap.
Revenue Cycle & Insurance
Hospitals spend $19.7 billion annually on denial management, with average denial rates at 10.2% of gross billed charges (Change Healthcare Revenue Cycle Denials Index).
Yet 90% of denials are preventable — caused by eligibility failures, coding errors, and documentation gaps. MGMA benchmarks rework cost at $118 per denied claim, and 65% of denials are written off without a rework attempt — permanently lost revenue that manual teams cannot sustain addressing at volume.
65% The AI Denial Management Agent changes the economics: every 835 ERA is read, every denial classified, every recoverable denial worked to a payer-specific standard before its deadline, without adding headcount. Book a denial impact assessment to calculate exactly what your current rework gap is costing each month.
Business impact
90%
of healthcare claim denials are preventable — caused by eligibility failures, missing authorisations, coding errors, and documentation gaps that AI catches before submission
Source: Change Healthcare
From real-time 835 ERA intake and CARC/RARC classification to AI-drafted appeals, worklist management, and payer compliance monitoring.
Real-time 835 ERA intake — every denial parsed for CARC/RARC codes in seconds.
ML denial analysis by payer, provider, and code — surfacing root patterns.
AI drafts complete appeal packages for every denial type in minutes.
AI ranks every denial by value, win probability, and deadline urgency.
Cross-references paid claims against contracted rates to catch underpayments.
Every denial routes upstream as a prevention action to stop repeat errors.
AI closes the prevention gap.
AI appeals each one before deadline.
Claim-level payer renegotiation evidence.
Integrations
Connects to your EHR, clearinghouses, and payers via X12 835, FHIR R4, and REST APIs.
7 named systems it connects to
Running something not listed here? Tell us on the call — scoping the connector is the first step.
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View agentAn AI Denial Management Agent autonomously reads every ANSI X12 835 ERA, classifies each denial by CARC/RARC root cause, and scores it by appeal win probability and financial value. It drafts a payer-specific appeal package from EHR clinical data and routes prevention signals upstream so recurring denial categories stop repeating.
The 65% write-off rate exists because building a medical necessity appeal manually takes 45–90 minutes per denial. The AI agent completes the same process in minutes — retrieving EHR clinical data via FHIR API, mapping it against clinical criteria, and drafting the complete appeal for billers to review and approve. Most organisations see denial rework rise from below 40% to above 80% within the first 90 days.
The agent handles all CARC/RARC denial categories — eligibility and coverage, authorisation and referral, medical necessity, coding and unbundling, timely filing, duplicate claims, coordination of benefits, and patient responsibility. For each it applies the right strategy, from clinical documentation appeals to corrected claim resubmission and COB correction.
For clinical denials, the agent accesses the patient's EHR via FHIR R4 API — retrieving clinical notes, diagnostic results, and medication history — and maps the data against the payer clinical criteria and coverage policies you license for the denied service type. It drafts a structured clinical justification letter formatted to the payer's requirements, which the reviewing clinician approves rather than authoring from scratch.
The agent integrates with Epic (FHIR R4 clinical APIs), Oracle Health Cerner (Millennium REST and FHIR R4), and athenahealth for clinical data access. For remittance and appeal submission, it connects to Waystar, Change Healthcare/Optum, and Availity via 835 EDI. Standard deployment completes in 3–5 weeks.
Underpayment detection runs on every paid claim, cross-referencing the amount paid against the contracted fee schedule for that payer, service code, and date of service. Discrepancies are classified by type and routed to the recovery worklist with the calculation and a pre-drafted dispute letter. HFMA estimates 1–3% of net patient revenue is lost annually to undetected underpayments.
The agent builds a payer analytics environment for managed care contracting: denial rates benchmarked against MGMA/HFMA standards, appeal overturn rates documenting over-denial, and underpayment recovery amounts. This evidence base, accumulated over 12–24 months, supports renegotiating denial performance standards and challenging anomalous denial rates with data.
Standard deployment runs 4–6 weeks: clearinghouse 835 feeds, EHR FHIR API connections, payer fee schedules, and appeal templates for the top 15 payers by volume. Within 90 days a mid-size health system typically sees denial rework rise from 35% to 80%+, with $200K–$500K/month in denial recovery and full ROI within 45–60 days.
Most clearinghouse modules surface denials in a worklist but leave appeal construction to your team. This denial management software reads every 835 ERA, classifies the CARC/RARC root cause, and drafts the complete appeal from EHR clinical data automatically — routing prevention signals upstream so the same denial categories stop recurring.
Yes. This medical billing denial management software covers the full denials and appeals workflow across every CARC/RARC category — eligibility, authorisation, medical necessity, coding, and timely filing. For each it builds the right response, from corrected claim resubmission to clinical justification letters, and tracks every appeal deadline at volume.
Every denial that is not worked is revenue your organisation earned and billed — but will not collect. Get a live demo of the AI Denial Management Agent running against your actual 835 ERA data, plus a denial recovery impact assessment showing what your current rework gap is costing each month.
Book a Demo