Stop losing revenue to coding errors
80% of medical bills contain errors. Most start at coding. Agentman's Claims Coding Agent reads clinical notes, generates accurate ICD-10 and CPT codes, and catches mistakes before claims ever leave your office.
The Problem
Medical coding is where revenue goes to die
Every coding error triggers a chain reaction: denial, rework, resubmission, phone calls, delays. The average practice doesn't just lose money on bad codes — they lose time chasing corrections that shouldn't exist.
of medical bills contain errors
Coding mistakes are the #1 cause of claim denials. Manual coding from clinical notes is slow, error-prone, and expensive to fix after submission.
lost annually to coding errors
The healthcare industry hemorrhages revenue through incorrect codes, missed modifiers, and undercoding. Most practices don't even know how much they're leaving on the table.
average time to code a single encounter
Certified coders spend 15–25 minutes per chart reviewing notes, selecting codes, and verifying compliance — time that compounds across hundreds of daily encounters.
Before & After
What changes when coding becomes intelligent
Your coders still review and approve every code. The difference: they start from accurate AI suggestions instead of blank screens.
Coders manually review every chart — 15-25 min each
AI pre-codes encounters in seconds; coders review and approve
Errors caught after submission → denials → rework
Errors caught before submission → clean claims → faster payment
Undercoding goes unnoticed → revenue leakage
Missed codes surfaced automatically → revenue recovered
New coders take months to reach proficiency
AI assists from day one → consistent accuracy across team
Compliance audits require manual chart reviews
Every code has auto-generated audit documentation
What the Agent Does
Intelligent coding from clinical notes to clean claims
Not a lookup tool. An agent that understands clinical documentation, applies coding guidelines, and learns your practice's patterns.
Clinical Note Analysis
Reads and interprets physician notes, operative reports, and discharge summaries to extract billable diagnoses and procedures automatically.
ICD-10 & CPT Code Suggestion
Generates accurate ICD-10-CM, ICD-10-PCS, and CPT codes with supporting documentation references. Catches specificity gaps before submission.
Pre-Submission Error Detection
Flags missing modifiers, unbundling issues, medical necessity gaps, and payer-specific requirements — so claims go out clean the first time.
Compliance Guardrails
Every code suggestion includes audit-trail documentation. Built-in checks for upcoding risk, NCCI edits, and LCD/NCD coverage rules.
Coding Pattern Analytics
Identifies trends in denials by code, payer, and provider. Surfaces revenue leakage from undercoding and missed charge capture.
Real-Time EHR Integration
Works alongside your existing EHR workflow. Codes appear as encounters close — no batch processing delays, no context switching.
Expected Results
Numbers that matter to your bottom line
Faster coding per encounter
From 20 minutes to under 10 with AI-assisted code generation
Fewer pre-submission errors
Catch missing modifiers, specificity gaps, and bundling issues before they become denials
Annual savings potential
Reduced rework, fewer denials, and recovered revenue from undercoding
First-pass coding accuracy
AI suggestions that match certified coder standards out of the box
Note: Results vary by practice size, specialty, and coding complexity. Ranges based on industry benchmarks and early deployment data.
Why Agentman
Not another coding tool. An agent that works for you.
Most "AI coding" tools are glorified search engines — they look up codes but don't understand context. Agentman agents read clinical documentation, reason about medical necessity, and complete the entire coding workflow.
Agents, Not Autocomplete
Our agent reasons through clinical documentation — understanding context, relationships between diagnoses, and procedure specificity. It doesn't just suggest codes; it builds a complete, defensible coding narrative.
Human-in-the-Loop, Always
Every AI suggestion requires coder review and approval. The agent accelerates your team — it doesn't replace them. Your coders maintain full control and professional judgment.
Battle-Tested in Production
24 months building AI agents for healthcare. We know the difference between a demo that impresses and a system that survives contact with real clinical documentation.
Part of a Full Suite
Claims coding is one of eight RCM agents
From eligibility verification to denial discovery, Agentman automates the entire revenue cycle. Claims coding is where clean claims start — but the full suite is where real savings compound.
See All RCM AgentsFAQ
Common questions about AI medical coding
Yes. The agent reads physician notes, operative reports and discharge summaries, extracts the billable diagnoses and procedures, and produces ICD-10-CM, ICD-10-PCS and CPT codes with references back to the documentation that supports each one. It also catches specificity gaps — the unspecified code that should have been specific — before the claim is submitted rather than after it is denied.
Coding runs 40–60% faster and coding errors fall 20–30%. In practice that is the difference between roughly 20 minutes per encounter and under 10. Codes appear as encounters close rather than in an overnight batch, so the coder is working on documentation they still remember.
No. Every code suggestion requires coder review and approval before anything is submitted — the agent accelerates your team rather than replacing it. What it changes is what your coders spend their day on: reviewing reasoned suggestions with the supporting documentation attached, instead of reading every note from scratch.
Autocomplete matches strings. The agent reasons through the clinical documentation — the context, the relationships between diagnoses, the specificity a procedure requires — which is why it can flag a missing modifier or an unbundling problem that a lookup cannot see. It works alongside your existing EHR workflow rather than replacing it.
Every suggestion carries audit-trail documentation, and the agent runs built-in checks for upcoding risk, NCCI edits, and LCD/NCD coverage rules. Because every suggestion is reviewed by a person before submission, the audit trail records both what the agent proposed and what your coder approved.
Yes. Coding pattern analytics identify denial trends by code, payer and provider, and surface revenue leakage from undercoding and missed charge capture. Those are usually systemic — one payer, one code, repeating monthly — which makes them a process fix rather than an appeal.
Ready to code claims faster and cleaner?
See exactly how the Claims Coding Agent handles your specialty's documentation. 30-minute demo tailored to your practice.
No credit card required · 2-week implementation · Cancel anytime