Appeals at payer speed,
more recovered revenue.
Payers use automation to deny thousands of claims instantly — while most provider teams still work appeals one at a time, by hand. We build AI agents that read the denial rationale against payer policy and prepare appeals at scale. Recovered revenue is measurable per claim.
The side automating the decision keeps the margin — and right now it's the payer.
The payer's "no" is instant, machine-generated and at scale. The provider's appeal is still assembled by hand, one claim at a time — excellent work, human-paced, against a machine-paced denial engine. Every appeal your team doesn't get to is revenue written off, and it compounds with missed follow-ups and filing deadlines.
The fix isn't more billers. Our agents take the mechanical 70% of denial work off your team — code reading, triage by recoverable value, deadline tracking, first-draft assembly — while the clinical appeal decision stays with your people. The team you already have works the dollars that matter, at machine pace. The same triage-by-value pattern runs in general insurance, where our agents handle AI claims triage and FNOL intake.
Denials worked end-to-end — read, ranked, drafted, tracked.
Denial triage by dollars
Every denial scored by recoverable value × winnability the moment the 835/ERA lands — worked by what it's worth, not by what clears easiest.
Appeal assembly at scale
Clinical docs pulled and matched to the payer policy in force, the appeal drafted for review — hours of skilled hunting per appeal, done by the agent.
Filing-deadline clock
A deterministic clock runs every filing window and escalates before anything ages out — the most expensive leak is the most mechanical, and it goes to zero.
Eligibility & charge capture
Once denials run at machine pace: eligibility checks and charge-capture review on the same pipeline, closing leaks before they become denials.
The same system, across clinical and pharma ops.
Patient helplines with clean human hand-off, document AI over regulatory and clinical records, pharmacovigilance triage, disease and supply anomaly detection — built to the same clinical-safety and audit bar.
Conversational AI
Patient helpline and MI assistant.
Use case: Discharge follow-up C02Documents
Regulatory and clinical document AI.
Use case: Clinical extraction C03Governance
PV triage and audit automation.
Use case: PV signal triage C04Knowledge
Disease and supply analytics.
Use case: Supply forecastThe same 5-stage system we run everywhere.
Discovery to scale, engineered for production from day one.
See how we deliver →See where your revenue cycle leaks dollars.
A short, no-pitch teardown: the five places revenue leaks before an appeal is even filed, and which of them AI actually closes. Then, if it's worth a conversation, a 20-minute look at your denial flow.