Adversarial payer-AI modeling

Win the denial
before it happens.

Payers deny for a cosmetic label.

Every claim clears two gatekeepers. The plan’s written policy, and the payer’s AI that auto-rejects on patterns that are not disclosed to providers. Activus rebuilds both from your denial history and checks each claim while your team is still building it, so a clean claim clears on the first pass.

The chamber

A red team for every claim.

Sources flow in, the agents debate the claim against a model of the payer’s own AI, and a source-cited decision comes out the other side.

Case filesActivusResolved claims
01 · Ingest

Every claim, gathered

The denial letter, the operative note, the plan policy, and your own remittance history, pulled into one case file per claim.

02 · Reclassify

The fight is the wording

Payers do not deny on evidence, they deny on classification. And most claims are cleared or denied automatically, before anyone opens the chart. Activus makes the true case in the plan's own words, then simulates the algorithm that scores it first.

03 · Verify

Cited to the record

Every argument traces to the operative note and policy, so a human sees exactly why it must be covered.

The process

Bring the case together

The denial letter, the operative note and the plan's reconstruction policy are pulled into one case file. Only what the claim needs.

How Activus works

Bringing the case together
denial-letter.pdfPayer denial
ADVERSE DETERMINATION
Flap reconstruction classified as cosmetic. Not medically necessary under plan terms.
op-note · EHROperative note
SURGICAL ONCOLOGY · OP NOTE
Full-thickness defect after oncologic excision; flap required to restore closure and function.
plan-policy.pdfCoverage policy
RECONSTRUCTIVE SURGERY
Reconstruction to restore function after cancer resection is medically necessary.
Northstar Health · only what the claim needs

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Vision

Building a world model of every payer’s denial logic.

We are building the reasoning layer that turns opaque denials into explainable, winnable decisions.

The thesis
010203

Denials are a hundreds-of-billions-dollar tax on care, and most of it is never contested. The fight is rarely about whether a treatment worked. It is about whether anyone can prove, in the plan's own words, that it was medically necessary, before an algorithm rejects it for something the words never mention.

Activus argues that case for you. A clinical agent and a legal agent take each claim apart against a simulation of the payer's denial behavior, not just disclosed policy. It surfaces the evidence in the record that shows it is covered, and settles the classification before it is ever submitted.

Every win is logged as an explicit path, tied to the record and the policy it cited. Over time that becomes a living model of how each plan denies, per specialty, per county, per cycle. This is the reasoning layer we are building at Activus.

§ 03 / Contact

If you run a high-denial specialty practice or a clinic network, we would like to speak.

contact@activusai.com
Backed by
Velocity FundThe Residency
Activuscontact@activusai.com