Your billers know the rules. Now they can enforce them.
We don't replace your billing team. We give them a system that handles the volume so they can focus on the exceptions — the complex denials, the edge cases, the decisions that actually require human judgment.
What your billing team is up against
The file format payers require. One wrong delimiter and the claim rejects instantly — no explanation.
Diagnosis must match treatment. Payers deny claims where the codes don't establish medical necessity.
The file sent to the payer. Every line item must match the clinical note exactly.
2.38 million rules about which procedure codes can be billed together. Updated quarterly.
The result: Experienced billers spend 60-70% of their time on routine claim submission — work that follows predictable rules. That leaves 30% for the complex cases that actually need their expertise.
How the training system works
Staff learn by reviewing AI-generated claims — approving correct ones, catching errors, and flagging edge cases. Every review builds their profile and improves the AI's accuracy for your practice.
Academy
New staff review straightforward claims. Learn the coding rules by seeing them applied in real cases.
Pilot
Experienced billers handle complex cases — multi-payer claims, modifier disputes, prior auth appeals.
Protocol Engineer
Senior staff configure the rules the AI follows for your practice — payer-specific edits, specialty coding preferences.
Claim Review Interface
Review AI-generated codes against the clinical note. Approve, edit, or flag for escalation.
Encounter Transcript snippet
Proposed Codes
Logic Gate Builder
Protocol Engineers configure payer-specific rules. When CPT X is billed with CPT Y, require modifier Z.
New Protocol Logic Gate
Define trigger conditions for the autonomous staging agent.
High-complexity cases, routed to your best people
When a claim is too complex for the AI to handle with confidence, it goes into a task queue. Your Protocol Engineers pick it up, resolve it, and earn bonus compensation. The AI learns from the resolution.
Track your team's progress
Every review is logged. Managers see accuracy rates, review volume, and which staff are ready to advance.
AI Execution Trust Score
First-Pass Accuracy Rate