Automated Charge Capture
That Stops Revenue
Leakage
Every missed charge is money walking out the door. Innobot's charge capture automation ensures every billable service is documented, coded, and submitted without adding to your staff's workload.
in year one
savings
supported
partnership
Manual Charge Capture
Is Costing You More
Than You Think
When charge capture in medical billing relies on manual processes, revenue leakage isn't a risk, it's a certainty. Hospitals lose 1% to 2% of net patient revenue annually to missed charges.
Missed Charges & Unbilled Services
Providers deliver care but charges never reach billing. Hospitals lose 1% to 2% of net patient revenue to missed charges annually, millions for mid-market systems.
Staffing Shortages & Turnover
Billing teams stretched thin; manual reconciliation consumes hundreds of hours monthly. Turnover resets institutional knowledge you spent years building.
Coding Errors & Claim Denials
Wrong CPT codes, missing modifiers, and incorrect diagnosis links introduce cascading errors that delay payment and require expensive rework.
Timely Filing Failures
One client found $250,000+ in timely filing write-offs over 10 months, money that can never be recovered once the filing window closes.
Integration Nightmares
Six-month implementations drag to 12 months. IT projects that never fully launch leave your revenue cycle team still doing everything by hand.
No Visibility Into Performance
Without automated tracking, you're flying blind on charge capture metrics. Anomalies go undetected until the damage is already done.
Charge Capture Automation
Built by RCM Experts
Every rule in this engine came from a charge review we actually sat through. Twenty eight years of catching missed charges by hand taught us exactly where revenue slips away.
Captures every billable service.
Every encounter validated against documentation. Missing charges caught before claims submit.
CPT, ICD-10, HCPCS, all validated.
Payer rules and bundling edits applied per claim, before submit.
Real-time reconciliation.
Underpayments caught before close. $17M recovered in 120 days, no manual overrides.
Cleaner claims, every time.
First-pass up 18 points. Denials down 82%.
AI catches anomalies fast.
Track charges by provider, department, and procedure. AI flags unexpected volume drops before they become revenue problems.
Anomaly · Provider Dr. Smith · Volume down 32%Charge Capture Automation
Enterprise Teams Trust
Charge capture was our job before it was our product. That is why teams see measurable recovery inside the first quarter.
Enterprise Healthcare Technology Company
After three years of automating with Innobot, this enterprise client transitioned from expensiveRPA platform licenses to Innobot's Python-based solution, saving over $3 million annually. The automation handles everything from eligibility to payment posting to clearinghouse rejection corrections, a full revenue cycle transformation supporting 14,000+ employees across multiple facilities.
in year one
savings achieved
across facilities
and compounding ROI
"We came up through charge review, not through a software startup. What we built has to hold up against a real encounter backlog, not a tidy demo."
Built to close
the 1% to 2% net revenue gap.
Hospitals lose 1% to 2% of net patient revenue every year to missed charges, late charges, and bundling errors. We didn't build charge capture from a vendor pitch deck. We've run charge integrity and revenue cycle operations from the front desk to VP, and we've seen exactly where the dollars walk out the door.
RCM Expertise First
Our founder has 28+ years in healthcare operations. We understand charge capture workflows, chargemaster maintenance, modifier auditing, and missed-charge patterns before writing a single line of automation code.
"Build-a-Bear" Customization
Pre-built components for 1,800+ payers, major EHRs, CDM rule engines, and NCCI/MUE edits. Assembled to your workflows. You own the source code, not a black-box SaaS subscription.
to Go-Live
6 to 8 Week Implementation
Not 6 to 12 months. We customize proven charge capture frameworks to your workflows rather than building from scratch. Your revenue cycle cannot wait a year.
No Integration Required
AI agents work like your best employees. They log in via RDP/VPN, not API. No Epic IT projects, no Cerner change orders, no 6-month IT queues holding you back.
1,800+ Payers Pre-Mapped
Every major commercial payer, all Medicare MACs, Medicaid, and clearinghouses. We've already built payer rule libraries, NCCI/MUE edits, and contracted fee schedules, we just configure them for your accounts.
Proven ROI in 90 Days
Cost per charge audited drops from $18+/hr (manual) to approximately $0.06/touch (automated). Most clients see positive ROI within 90 days. We'll prove it before you commit.
Ready to Stop Leaving
Revenue on the Table?
See exactly how much missed revenue you could recover. Our team will build a custom ROI analysis for your volumes. No commitment required.
Common questions about automated charge capture
What is charge capture in medical billing, and why does it matter?
Charge capture records all billable services, procedures, and diagnoses from patient encounters. It bridges clinical care and billing, ensuring every service is documented with correct CPT and ICD-10 codes. When it fails, services go unbilled. Hospitals lose 1% to 2% of net patient revenue annually to missed charges, for a $500M health system, that's $5 to $10M per year.
How does charge capture automation work with our existing EHR?
Our AI agents operate like human employees, logging in, navigating screens, pulling reports, and entering data via RDP/VPN. No API integration, no IT project required. We support Epic, Cerner, Meditech, eClinicalWorks, and virtually all major EHR and PM systems. Your workflows stay unchanged while AI agents handle the repetitive validation and reconciliation work.
What does charge reconciliation automation include?
Automation compares charges to payments, identifies underpayments against fee schedules, flags discrepancies, and generates templated appeal letters. One client recovered $17M in underpayments in 120 days using automated reconciliation. The AI agent checks every line item, something impossible for staff to do manually at scale.
How long does implementation take?
Each process automation goes live in 6 to 8 weeks from kickoff, including discovery, design, development, testing, and deployment. Speed comes from pre-built components customized to your specific workflows. The first automation takes 6 weeks; subsequent ones often take 4 to 5 weeks. No 12-month IT projects.
What ROI can we expect from automated charge capture?
ROI compounds over time. One enterprise client with 14,000+ employees achieved 13% staff reduction in year one and maintained a 4-year partnership. Another recovered $17M in underpayments in 120 days. We provide ROI calculators using your actual volumes, task times, and staffing costs before you sign, so you know the number before you commit.
Can automation handle payer-specific charge rules and coding edits?
Yes. Each payer has unique bundling rules, modifier requirements, and coding edits. Our AI agents apply payer-specific logic before submission so charges pass clean claim edits on the first pass. We support 1,800+ payers and maintain these rules on an ongoing basis. When payers update their rules, we update the AI agents.
What makes Innobot different from other charge capture vendors?
Three things: RCM expertise (28+ years from the founder), no integration requirement (AI agents work via RDP like employees, not APIs), and accessible pricing built for organizations of all sizes, not just large enterprise systems.