1. Find the denial patterns
We start with your own history. AI groups past denials by payer, procedure and reason, and finds the ones that keep coming back. That tells us exactly which checks will pay off first for your practice.
Clearinghouse scrubbers catch formatting errors. Most denials come from somewhere else: what happened at the front desk and in the chart before the claim existed. Our technology looks there, learns what your payers deny, and stops it before submission.
We start with your own history. AI groups past denials by payer, procedure and reason, and finds the ones that keep coming back. That tells us exactly which checks will pay off first for your practice.
Each new claim is compared against that payer's requirements and against the patterns behind past denials. We look at eligibility, credentialing, code-to-chart match and required attachments.
A flagged claim comes with the likely cause and the likely fix. A billing specialist makes the correction, or asks your team to clarify the note, before the claim is released. AI proposes; people decide.
Every denial, payer response and audit finding goes back into the checks. The longer we work your claims, the fewer surprises there are.
Without giving away how our checks work, these are the families of problems they're built to catch:
Our AI runs inside our own HIPAA-eligible cloud environment, covered by business associate agreements. Patient data stays in that environment, with encryption, access controls and logging applied to every request.