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AI Prior Authorization Agent

An AI prior authorization agent for payer criteria matching, PA packet drafting, submission, status tracking, and denial appeals.

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Walmart
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Kellton
Jade Global
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Walmart

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See it working on your own workflows. We reply within 24 hours.

  • We respond within 24 hours, fully NDA-protected.
BrowserStack
Persistent
Yatra
Kellton
Jade Global
Optum
PokerBaazi
Walmart
BrowserStack
Persistent
Yatra
Kellton
Jade Global
Optum
PokerBaazi
Walmart

Trusted by startups and global leaders

BrowserStack
Persistent
Yatra
Kellton
Jade Global
Optum
PokerBaazi
Walmart
BrowserStack
Persistent
Yatra
Kellton
Jade Global
Optum
PokerBaazi
Walmart

Why Choose Bonami's AI Prior Authorization Agent

Physicians spend 14.6 hours per week on PA administration (AMA 2023). 94% say PA delays harm patient care; 25% link them to a serious adverse event. Manual PA costs $11 in staff labour vs. under $2 automated — and 13% of patients abandon care after a denial.

AI Prior Authorization Agent

Criteria Matched Before Submission — Not After the First Denial

Most PA denials are preventable — missing documentation, not unjustified treatment. The agent flags every gap before submission, when a fix takes minutes, not a multi-week appeals cycle.

14.6 Hours of Weekly PA Burden Reclaimed for Patient Care

14.6 physician hours per week lost to insurance administration (AMA). The agent automates criteria matching, packet drafting, and status tracking — returning that time to patient care while keeping physicians in the loop.

Denial Patterns Identified and Closed at the Root Cause

Individual denials are costly; systemic patterns are catastrophic. Denial analytics surface where the same payer repeatedly blocks the same procedure — driving upstream corrections before the next submission.

Core Capabilities of the AI Prior Authorization Agent

Six capability pillars — from payer policy ingestion and criteria matching to packet drafting, multi-channel submission, denial management, and revenue analytics — deployed to reclaim clinical time and protect revenue.

Payer Policy Ingestion & Criteria Intelligence

Continuously ingests criteria from MCG Health, InterQual, and payer-specific coverage policies — maintaining a current criteria library without manual review by clinical staff.

Measured by What Changed After Deployment

Hover to explore the numbers behind the agents we've put into production.

Core Capabilities of the AI Prior Authorization Agent

Six capability pillars — from payer policy ingestion and criteria matching to packet drafting, multi-channel submission, denial management, and revenue analytics — deployed to reclaim clinical time and protect revenue.

  • Payer Policy Ingestion &  Criteria Intelligence

    Payer Policy Ingestion & Criteria Intelligence

    Payer Policy Ingestion & Criteria Intelligence

    Continuously ingests criteria from MCG Health, InterQual, and payer-specific coverage policies — maintaining a current criteria library without manual review by clinical staff.

  • Chart-to-Criteria Matching &  Gap Analysis

    Chart-to-Criteria Matching & Gap Analysis

    Chart-to-Criteria Matching & Gap Analysis

    Retrieves the complete patient record via FHIR R4 — notes, problem list, medications, labs, imaging, prior treatments, and historical PA outcomes for this patient-payer combination.

  • PA Packet Drafting &  Clinical Justification

    PA Packet Drafting & Clinical Justification

    PA Packet Drafting & Clinical Justification

    Generates the complete PA packet: justification letter with chart citations per criterion, ICD-10 and CPT codes, relevant note excerpts, and a physician attestation ready for e-signature.

  • Multi-Channel Submission  & Status Tracking

    Multi-Channel Submission & Status Tracking

    Multi-Channel Submission & Status Tracking

    Submits via the optimal channel per payer — direct API through Availity, CoverMyMeds, Surescripts, and Cohere Health, or portal automation for payers without API access.

  • Denial Management &  Appeals Automation

    Denial Management & Appeals Automation

    Denial Management & Appeals Automation

    Every denial is automatically classified on receipt — medical necessity, step therapy, non-covered benefit, administrative error, or documentation gap — before the appeals workflow begins.

  • Revenue Cycle Analytics &  PA Performance Intelligence

    Revenue Cycle Analytics & PA Performance Intelligence

    Revenue Cycle Analytics & PA Performance Intelligence

    Real-time dashboard: active PA queue by date, payer, and status; approval and denial rates by payer and service; average days to decision — giving revenue cycle leadership full visibility into PA throughput.

Every Manual PA Request Costs $11 in Staff Labour — Before Denied Revenue.

At 5,000 PAs/month, that's $540,000/year in labour — before denial and abandonment losses. The agent cuts manual handling time by 80% per request.

Get Your PA Workflow Assessment
AI Readiness

Award-Winning AI Development & Consulting

2025

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2025

Global Spring Winner

2025

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2025

Highly Rated on Trustpilot

2024

Verified Agency

2024

Top App Development Company

2024

ASSOCHAM Member

Frequently Asked Questions

[ 1 ]

What is an AI Prior Authorization Agent and which PA types does it handle?

An AI Prior Authorization Agent manages the full PA lifecycle — criteria ingestion, chart matching, packet drafting, payer submission, status tracking, and denial appeals — with physicians in the loop at every clinical decision point. It covers specialty medications, imaging, surgical procedures, referrals, DME, behavioural health, and post-acute transitions.

[ 2 ]

How does the agent match patient chart data to payer clinical criteria without clinical staff involvement?

The agent identifies the applicable criteria for the procedure-diagnosis-payer combination, retrieves the full patient chart via FHIR R4, and uses clinical NLP to map each chart element against each criterion. It produces a match report — satisfied, partial, absent — with source citations. Clinical staff review before submission; in tuned deployments that takes under 3 minutes per PA.

[ 3 ]

What prevents the agent from hallucinating clinical justification content?

Every clinical claim traces to a specific chart document, section, and date — the agent cannot reference information absent from the record. Structured templates constrain output to retrieved chart data, not open-ended generation. The attending clinician reviews the packet with source citations displayed alongside each claim before submission.

[ 4 ]

Which EHR systems and payer submission channels does the agent integrate with?

EHR: Epic, Oracle Health/Cerner, athenahealth, NextGen, eClinicalWorks — any FHIR R4 endpoint connects. Payer submission: Availity, CoverMyMeds, Surescripts, Cohere Health, and major payer APIs (UnitedHealthcare, Aetna, Cigna, Humana, BCBS); portal automation for payers without API access. UAE: eClaimLink, Daman, Thiqa, ADNIC, and AXA Gulf — all within UAE data residency.

[ 5 ]

How does the denial management and appeals workflow operate?

On receipt, the agent classifies the denial (medical necessity, step therapy, admin error, or documentation gap), assesses the strongest appeal pathway, and drafts the response — appeal letter with updated chart evidence, corrected submission, or peer-to-peer briefing. The draft is routed to the clinician with the appeal deadline for review and sign-off.

[ 6 ]

How does the agent handle payer policy changes and criteria updates?

Criteria are re-indexed daily or weekly per payer; updates refresh the matching model and flag any in-progress PAs affected. If a payer's approval rate for a specific procedure drops sharply without a change in submission quality, the system flags a probable undocumented policy change and triggers a manual criteria review.

[ 7 ]

How does the system support urgent and expedited prior authorizations?

Expedited triggers are detected from order urgency flags, diagnosis codes, or clinician designation. The agent applies the payer's expedited pathway (24–72h vs. 3–14 business days standard), marks the submission accordingly, and escalates for immediate physician sign-off. For life-threatening cases, a retrospective PA packet is generated in parallel with the emergency override.

[ 8 ]

How long does implementation take and what ROI can we expect?

A focused deployment (one EHR, top 5 payers, top 20 PA types) runs 10–14 weeks: connector and criteria setup (Weeks 1–3), shadow mode (Weeks 4–8), live pilot (Weeks 9–10), full expansion (Weeks 11–14). At 5,000 monthly PAs: $540K annual labour saving, 30–50% fewer initial denials. Most health systems recover implementation cost within 5–8 months.

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