$9M
A $300 Million Hospital Loses Up to $9 Million a Year in Services Already Delivered — Because the Charge Was Never Generated.
Trusted by startups and global leaders
Six Core Capabilities of the AI Charge Capture Agent
From real-time clinical event monitoring and automated charge generation to CDM integrity management, high-cost supply tracking, charge lag surveillance, and revenue reconciliation analytics — the AI Charge Capture Agent covers every dimension of the charge lifecycle across every service line and care setting.
Real-Time Clinical Event Monitoring & Charge Detection
Monitors clinical events via EHR FHIR R4 — orders, clinical notes, and medication records — applying charge logic at the moment of documentation.
Automated Charge Generation From Clinical Documentation
Generates the CDM charge automatically when a billable order is completed — eliminating the manual entry gap between service delivery and revenue capture.
High-Cost Supply & Implant Charge Capture
Reconciles OR supply records against the charge sheet — flagging implants and supplies documented as used but missing from charge entry.
CDM Integrity Management & Mapping Validation
Validates every CDM entry against CPT/HCPCS validity, CMS fee schedules, and payer allowables — flagging expired codes, bad mappings, and outdated prices.
Charge Lag Surveillance & Filing Deadline Management
Tracks elapsed time between clinical events and charge entry — producing a real-time charge lag dashboard by provider, department, and encounter type.
Revenue Reconciliation Analytics & Leakage Intelligence
Compares expected charges against actual captures per service line — producing a daily revenue reconciliation report by department and provider.
85%
A $300 Million Hospital Loses Up to $9 Million a Year in Services Already Delivered — Because the Charge Was Never Generated.
AI Charge Capture Software: Eliminate Revenue Leakage with Intelligent Automation
The HFMA benchmark is clear: charge capture failures drain 1–3% of net patient revenue annually — through services rendered without charges captured, not through billing errors or payer disputes.
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1–3% of Net Patient Revenue Leaves Every Health System Uncaptured Every Year
Every number comes from production revenue-cycle deployments — measured live, not projected in a pitch deck.
1–3%
of net patient revenue lost annually to charge capture failures across US health systems (HFMA/Advisory Board benchmark) — for a $300M hospital, $3–9M in…
100+
Enterprise customers trusting Bonami X AI for mission-critical healthcare and revenue cycle operations.
24/7
Autonomous monitoring with real-time alerts — continuous automated intervention across every workflow.
Our Process
Why Revenue Cycle Leaders Deploy Bonami's AI Charge Capture Agent
Drag, click, or use the dots to walk through each reason.
Charges Generated From Clinical Events — Not From Clinician Memory
The AI agent generates charges directly from documented clinical events at the moment of care — not from clinician memory or billing admin.
Charge Lag Closed Before Filing Deadlines Expire
The agent tracks every open encounter against payer filing deadlines, escalating charges before the window closes to prevent write-offs.
Revenue Integrity as a Continuous Process, Not a Periodic Audit
The AI agent makes revenue integrity continuous — every encounter reconciled daily, missed charges caught before they become unrecoverable.
Works With Your EHR, Supply Chain, and Billing Systems
The AI Charge Capture Agent ships with certified connectors for the leading EHR platforms, materials management systems, and revenue cycle billing environments — reading clinical events from your live EHR feed and writing charges directly into your billing system without disrupting care delivery.
Epic
Epic EHR FHIR R4 AI charge capture integration with Epic Charge Router for automated charge generation
Oracle Health
Oracle Health Cerner AI charge capture agent integration for inpatient and outpatient charge automation
Availity
Availity clearinghouse AI charge capture integration for pre-submission charge validation and scrubbing
athenahealth
athenahealth AI charge capture integration for ambulatory charge generation and CDM management
eClaimLink
eClaimLink UAE AI charge capture agent integration for DHA and HAAD payer charge submission
Daman
Daman UAE health insurance AI charge capture integration for revenue integrity and claim accuracy
From the Desk of Our Esteemed Clients
Real results from enterprises that have deployed Bonami's AI solutions across industries.
Bonami's AI platform revolutionized our content creation process. Their natural language generation tools helped us scale our content production by 300% while maintaining exceptional quality and brand voice.
85%
Stop Absorbing the Cost of Services You Already Delivered
Every missed charge, every late entry past the filing window, every implant documented in the operative report but absent from the charge sheet — each represents care your clinicians delivered and your health system absorbed without reimbursement.
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Six Core Capabilities of the AI Charge Capture Agent
From real-time clinical event monitoring and automated charge generation to CDM integrity management, high-cost supply tracking, charge lag surveillance, and revenue reconciliation analytics — the AI Charge Capture…
01
Real-Time Clinical Event Monitoring
Monitors clinical events via EHR FHIR R4 — orders, clinical notes, and medication records — applying charge logic at the moment of documentation.
02
Automated Charge Generation From Clinical Documentation
Generates the CDM charge automatically when a billable order is completed — eliminating the manual entry gap between service delivery and revenue capture.
03
High-Cost Supply
Reconciles OR supply records against the charge sheet — flagging implants and supplies documented as used but missing from charge entry.
04
CDM Integrity Management
Validates every CDM entry against CPT/HCPCS validity, CMS fee schedules, and payer allowables — flagging expired codes, bad mappings, and outdated prices.
05
Charge Lag Surveillance
Tracks elapsed time between clinical events and charge entry — producing a real-time charge lag dashboard by provider, department, and encounter type.
06
Revenue Reconciliation Analytics
Compares expected charges against actual captures per service line — producing a daily revenue reconciliation report by department and provider.
Get in touch
Ready to Capture Every Charge for Every Service Your Clinicians Already Delivered?
Talk to a healthcare revenue integrity specialist — get a live demo of the Charge Capture Agent running against your encounter volume and a revenue leakage assessment identifying your top missed charge categories, charge lag exposure, and annual recovery opportunity by service line.
Response within 24 hours
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Frequently Asked Questions
[ 1 ]
What is an AI Charge Capture Agent and how is it different from medical coding automation?
They are adjacent but distinct. Charge capture ensures every billable service actually generates a charge in the billing system; medical coding ensures that charge carries the correct ICD-10, CPT, and modifiers.
[ 2 ]
Which care settings and service lines does the agent cover?
The agent covers all major settings where charge capture failures hurt most. Inpatient: daily service charges, procedure documentation, and critical care time-based billing.
[ 3 ]
How does the agent handle high-cost implant and supply charge capture?
Implant and supply capture needs a three-way reconciliation across the materials management system (received), the preference card and case cart (planned), and the operative note (used).
[ 4 ]
How does timely filing deadline management work in practice?
Every open encounter with a missing charge is tracked against a filing deadline matrix by payer — Medicare Part A and B (1 year), commercial (typically 90–180 days by contract), and Medicaid (varies by state) — with time remaining recalculated continuously.
[ 5 ]
How does automated E/M level selection work, and what is the compliance framework?
Under-leveling loses revenue and over-leveling creates compliance exposure — both common when providers pick E/M levels from memory. The agent applies the 2021 AMA medical decision-making (MDM) framework to the completed note, weighing the problems addressed, data reviewed, and risk of management, and maps them to the correct MDM level.
[ 6 ]
Which EHR systems and supply chain platforms does the agent integrate with?
EHR integration runs via FHIR R4 APIs for Epic (Charge Router, SMART on FHIR), Oracle Health/Cerner (FHIR R4, Millennium HL7), athenahealth, NextGen, and eClinicalWorks.
[ 7 ]
What revenue recovery ROI can we expect and how quickly?
ROI comes from three sources. Immediate (months 1–3): missed charge recovery from the agent's baseline audit of documented-but-uncharged encounters still within filing deadlines — typically 40–60% of first-year ROI.
[ 8 ]
Does the agent work alongside existing revenue integrity and CDI teams?
Yes — the agent augments revenue integrity and CDI teams rather than replacing them. Revenue integrity specialists shift from manual sampling to managing exception queues, with every missed charge, filing deadline risk, and CDM issue surfaced in a structured workflow.
[ 9 ]
How does this charge capture software differ from other charge capture solutions and charge capture applications?
Most charge capture solutions and charge capture applications still rely on clinicians manually entering charges during care — the structural cause of revenue leakage.
[ 10 ]
Does the agent support mobile charge capture and charge capture medical billing workflows?
Yes. Because charges are generated from documented clinical events rather than one device, the agent supports mobile charge capture by surfacing charge gap alerts and provider review queues wherever clinicians document in the EHR.
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