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AI Underpayment Recovery Agent

Audit every 835 ERA against contracted rates, flag payer underpayments and file disputes to recover revenue with Bonami X AI's underpayment recovery agent.

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100 Fastest Growth Companies
Global Spring Winner
Top App Development Company
AWS Partner Network
Google Cloud Partner
Highly Rated on Trustpilot
Verified Agency
Top App Development Company
ASSOCHAM Member

Revenue Cycle & Insurance

Payers Underpay 1 in 14 Claims

Experian Health and Advisory Board research consistently shows that 7–10% of paid claims contain a payment variance, with total underpayment exposure averaging 1–3% of net patient revenue per year for health systems with active commercial payer contracts.

Read the full evidence

For a $300 million net revenue hospital, that is $3–9 million in contractually owed reimbursement that the payer retained — legally belonging to the provider, contractually enforceable through the dispute and reconsideration process, but invisible to any standard revenue cycle monitoring workflow because the claim was processed and paid, not denied. Each individual variance may be modest — $18 on a $220 physical therapy claim, $340 on a $4,800 surgical assist — but aggregated across thousands of monthly claims, the cumulative underpayment becomes the revenue leakage category that revenue cycle audit firms recover for contingency fees.

$9M A prior-year fee schedule, a missed carve-out, or a misapplied geographic adjustment adds up to $3–9 million per year for a $300M hospital. The AI Underpayment Recovery Agent cross-references every remittance line against your contracted rate in real time, auto-generates dispute letters, and delivers the payer performance data your managed care team needs at the next contract negotiation.

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Business impact

7–10%

of paid claims contain a payment variance (Experian Health / Advisory Board benchmark) — the majority accepted silently because payment posting systems have no contract-rate cross-reference layer

$9M
Underpayments don't appear in your denial worklist because the claim was paid — just at the wrong rate.

Six Core Capabilities of the AI Underpayment Recovery Agent

Six capabilities that catch every way commercial payers underpay claims.

01

835 ERA Payment Variance Detection

Every 835 ERA is parsed at line-item level for real-time contract-rate checks.

02

Contract Rate Library & Fee Schedules

Upload contracts once — AI builds a queryable fee-schedule and rate library.

03

Dispute Generation & Recovery

On confirmed variance, a payer-specific dispute letter auto-generates.

04

COB & Secondary Payer Recovery

Validates every secondary remittance against the primary EOB for correct COB.

05

Prompt Pay & Interest Recovery

Flags late-paid claims and calculates prompt-pay interest due by state.

06

Underpayment Analytics & Renegotiation

Live view of variance exposure, dispute volume, and recovery rate by payer.

How the AI Underpayment Recovery Agent Works

  1. Step 1

    Every line of every 835 ERA is cross-referenced against the contracted rate for the specific CPT/HCPCS code, modifier set, payer plan, place of service, and rate effective date within seconds of remittance posting — identifying payment variances that standard payment posting systems accept silently as contractual adjustments

  2. Step 2

    The payer contract rate library stores every fee schedule table, carve-out provision, rate effective date, and bundling rule for every payer in your contracted network — giving the variance detection engine the specific contractual basis for every underpayment dispute

  3. Step 3

    Dispute letters are auto-generated at the moment a variance is confirmed — citing the specific contract clause, fee schedule entry, payment received, amount owed, and recovery calculation — formatted for the correct payer dispute pathway and ready for submission before the dispute window narrows

  4. Step 4

    Underpayment trend analytics aggregate variance patterns across payers, procedure categories, and contract periods — identifying systemic fee schedule misapplication patterns that represent renegotiation leverage and quantifying the revenue impact of specific payer contract terms before renewal negotiations begin

Why Choose the AI Underpayment Agent

AI Underpayment Recovery Agent outcomes

Every Remittance Audited — Not Every Tenth One

Every ERA line audited at posting, not sampled.

Dispute Windows Closed Before They Expire

Variances caught and disputed inside the 90-day window.

Underpayment Data as Contract Renegotiation Leverage

Claim-level payer accuracy evidence for rate renegotiation.

Integrations

Works With Your Clearinghouses, EHR, and Payer Network

The agent plugs into your existing ERA infrastructure — clearinghouses, EHR payment modules, and billing systems.

6 named systems it connects to

Also connects to eClaimLink

Running something not listed here? Tell us on the call — scoping the connector is the first step.

Bonami X AI AI Underpayment Recovery Agent
  • Epic logo Epic
  • Oracle Health logo Oracle Health
  • Availity logo Availity
  • athenahealth logo athenahealth
  • Daman logo Daman

AI Underpayment Recovery Agent — FAQs

[ 1 ]

What is an AI Underpayment Recovery Agent and how is it different from denial management?

Denial management handles unpaid claims; underpayment recovery handles claims paid below contract. The agent audits every 835 ERA line against the contracted rate and disputes each variance.

[ 2 ]

Six causes: fee schedule year errors, contract misapplication, bundling variance, modifier downcoding, wrong GPCI or facility rate, and COB errors.

[ 3 ]

Document AI parses contract PDFs and fee schedules into queryable rate tables, carve-outs, and effective dates. Unresolved language is flagged for your contracting team.

[ 4 ]

AI-OCR digitises paper and image EOBs, and a configurable parser maps proprietary formats to 835 elements. Both feed the same variance and dispute workflow.

[ 5 ]

The agent calculates statutory interest on late-paid claims (California 1.5% monthly, Texas and New York 45-day rules) and issues demand notices above your threshold.

[ 6 ]

It runs as a layer on your existing posting flow: a parallel ERA copy from Availity, Waystar, or Optum is cross-referenced, with variances flagged inside Epic, Cerner, or athenahealth.

[ 7 ]

A baseline audit of 12–24 months of paid claims typically recovers $200K–$2M; ongoing detection captures 0.5–1.5% of net patient revenue per HFMA benchmarks.

[ 8 ]

Disputes are professionally formatted and cite the exact contract provision and rate, and your contracting team sets the escalation threshold per payer.

[ 9 ]

Generic tools flag payments below an expected average and produce false positives. Bonami matches each ERA line to the exact contracted rate, so every dispute is defensible.

[ 10 ]

The agent classifies the variance, prioritises it by value and dispute window, generates the payer-specific letter, then tracks and escalates it to second-level appeal.

Your Payers Are Keeping Up to $9 Million a Year of Your Revenue. The Claims Were Processed, Accepted, and Paid — Just at the Wrong Rate.

Every underpayment your payment posting system accepts as a contractual adjustment without a contract-rate cross-reference is revenue your payer contractually owes and your health system will never recover once the dispute window closes. Get a live demo of the Underpayment Recovery Agent running against your ERA data and an underpayment assessment showing your current variance exposure by payer, procedure category, and contract year.

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AI Underpayment Recovery Agent
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