$9M
A $300 Million Hospital Loses Up to $9 Million a Year in Services Already Delivered — Because the Charge Was Never Generated.
AI Charge Capture Agent
Charge capture software that monitors clinical documentation in real time to detect missed charges, validate the CDM, and reconcile revenue.
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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 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entry against CPT/HCPCS validity, CMS fee schedules, and payer allowables — flagging expired codes, bad mappings, and outdated prices.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 Agent
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.
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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 root cause of charge capture failure is a structural workflow design problem — requiring clinicians to perform billing administration tasks at the same time they are delivering clinical care, and clinical priorities consistently win.…
Charge Lag Closed Before Filing Deadlines Expire
Charge lag — the gap between service delivery and charge entry — is the mechanism through which temporary revenue deferral becomes permanent revenue loss. The agent monitors every open encounter against payer filing deadlines and…
Revenue Integrity as a Continuous Process, Not a Periodic Audit
The traditional response to charge capture failure is the quarterly revenue integrity audit — a retrospective review that often produces findings after the filing deadline for many encounters has already passed. The AI agent makes…
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
Oracle Health
Availity
athenahealth
eClaimLink
Daman
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.
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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.
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Frequently Asked Questions
[ 1 ]
What is an AI Charge Capture Agent and how is it different from medical coding automation?
Charge capture and medical coding are adjacent but distinct functions. Charge capture ensures every billable service delivered to a patient results in a charge being generated — that the service appears in the billing system at all.
[ 2 ]
Which care settings and service lines does the agent cover?
The agent covers all major care settings where charge capture failures are most financially significant. Inpatient: daily service charges, physician procedure documentation, critical care time-based billing, and discharge documentation review.
[ 3 ]
How does the agent handle high-cost implant and supply charge capture?
Implant and surgical supply charge capture requires monitoring across three distinct data sources: the materials management/supply chain system (what was received), the preference card and case cart system (what was planned), and the operative note (what was actually used).
[ 4 ]
How does timely filing deadline management work in practice?
Every open encounter with a missing or unsubmitted charge is tracked against a filing deadline matrix storing the applicable timely filing period for each payer: Medicare Part A and Part B (1 year), commercial payers (typically 90–180 days by contract), and Medicaid (varies by state).
[ 5 ]
How does automated E/M level selection work, and what is the compliance framework?
Under-leveling — selecting a lower E/M level than the documented medical decision-making supports — results in systematic revenue loss; over-leveling creates compliance exposure.
[ 6 ]
Which EHR systems and supply chain platforms does the agent integrate with?
EHR integration is delivered via FHIR R4 APIs: Epic (FHIR R4, Epic Charge Router integration, SmartOnFHIR app framework), Oracle Health/Cerner (FHIR R4, Millennium HL7 interfaces), athenahealth (athena API Marketplace), NextGen (FHIR R4), and eClinicalWorks.
[ 7 ]
What revenue recovery ROI can we expect and how quickly?
ROI materialises from three sources. Immediate (months 1–3): missed charge recovery from open encounters identified by the agent's initial baseline audit — encounters with documented services and no corresponding charges still within the filing deadline.
[ 8 ]
Does the agent work alongside existing revenue integrity and CDI teams?
Yes — the agent is designed to augment revenue integrity and CDI teams, not replace them. Revenue integrity specialists shift from manually sampling encounters to managing exception queues: the agent surfaces every identified missed charge, filing deadline risk, and CDM integrity issue in a structured workflow for review and action.
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