Sectors · Healthcare operations

Revenue leaks between the encounter and the claim.

Health systems are moving AI into the revenue cycle. Agents can assemble the evidence for claims, appeals and authorisations, while your coders and revenue-cycle staff make the calls.

The evidence

80%

of health systems are taking action on generative AI for revenue cycle management, from exploring to fully implementing.

Source: HFMA / AKASA survey, Dec 2025

8.49%

of total revenue is the estimated cost of incomplete or inaccurate documentation, in the same survey.

Source: HFMA / AKASA survey, Dec 2025

Where agents pay back

  • Denial triage and appeal drafting, with the supporting documents attached.
  • Coding and documentation-gap checks before a claim is submitted.
  • Prior authorisation packet assembly.
  • Patient scheduling and no-show follow-up.

In every case the agent prepares and a named person on your team decides.

How we start

Fixed-fee assessment, then a paid pilot

We rank your workflows by payback, build one governed agent on the best of them, and measure how often your reviewers agree with it before expanding.

How we govern AI →

Start with a fixed-fee assessment. Prove it with a paid pilot.

We find the two or three workflows where an agent pays back fastest, and tell you plainly where it won’t.