AI agents that handle charge entry, claim scrubbing, payment posting, and denial management — so your certified billers focus on complex claims and client relationships, not data entry.
Most billing companies hit a ceiling at 100–150 providers because billers can only handle so many encounters. Here's what we hear every week.
"Our billers spend 60% of their time on data entry, 40% on actual billing."
"We resubmit the same denial reasons month after month."
"I trained her for 4 months and she left for a hospital billing job."
"Payment posting takes 2–3 days and we're always behind."
BAA executed before any data access. AI agents operate on HIPAA-compliant infrastructure with full audit logging. No PHI stored outside your environment. 2M+ encounters processed with zero compliance incidents.
Start with charge entry to prove the model, then systematically automate the full billing cycle.
AI agent performs demographic verification against payer portals, processes superbills and EHR exports, validates CPT/ICD-10 compatibility, selects and validates modifiers, calculates units, and flags exceptions for human review — all before a biller touches the claim.
AI runs NCCI edit checks, validates payer-specific rules, verifies prior authorization status, generates clean claims, submits electronically, and handles rejections and corrections — catching errors before they become denials.
AI processes ERA 835 files at volume — allocating payments to line items, identifying denials, categorizing adjustment reason codes, flagging unapplied payments, and reconciling against expected amounts. Daily posting completed overnight.
AI categorizes denials by root cause, generates appeal letters from templates trained on your winning appeals, prepares corrected claims, schedules payer follow-up, and produces monthly trend analysis identifying systemic issues before they compound.
Medical Billing Partners was turning away new provider clients because they couldn't hire certified billers fast enough. After deploying AI agents for charge entry, claim scrubbing, and payment posting, they onboarded 15 new providers in 6 months — with the same billing team.
"We were turning away new provider clients because we couldn't hire billers fast enough. Now we take on new business confidently. The AI agents handle the routine work and my certified billers focus on complex denials and client relationships."
Medical billing follows rules — thousands of them, but still rules. Our AI agents learn NCCI edits, payer-specific requirements, coding guidelines, and your specific workflows. They handle the routine 80% so your certified billers focus on the complex 20% that actually needs human expertise. One of our clients has 47 different payer contracts with unique rules. The AI agent learned them all in 3 weeks and now scrubs claims with 96% accuracy before submission.
Our AI agents operate on HIPAA-compliant infrastructure with BAA in place before any data access. They access systems the same way your billers do — through secure desktops with full audit logging. No data leaves your environment. In fact, our clients often improve compliance because AI agents don't make human errors like emailing PHI to the wrong address. We've passed security audits for billing companies serving hospital systems with 2M+ encounters and zero compliance incidents.
Every billing company says that — and they're right. That's why we don't use templates. Our AI agents learn your specific workflows for each practice: Dr. Smith's prior auth requirements, the orthopedic group's implant billing rules, your internal quality checks. We work with a billing company handling 23 different specialties. Each has unique workflows. The AI agents learned all 23 in 6 weeks and now handle 75% of routine work autonomously.
Billing software organizes your work — our AI agents DO the work. They operate inside your existing software: AdvancedMD, Kareo, eClinicalWorks, or even custom systems. No data migration. No workflow changes. Agents log in just like human billers and execute tasks. We integrate with 40+ billing platforms. Most clients don't change any software — they just add AI workers to their existing stack.
Start with charge entry. Prove the model. Expand systematically.
500–1,000 encounters. 30 days. Success defined upfront — 98%+ accuracy and under 8 minutes per encounter. Pilot fee credited toward month one if we hit the targets.