AI revenue cycle platform that recovers what healthcare providers lose to claim denials, payer delays, and billing friction.

Healthcare providers lose 5–10% of revenue to claim denials, payer delays, and billing errors — money owed for care already delivered. Revenue cycle teams spend most of their time manually working denials and chasing aging receivables across hundreds of payer-specific rules. The result is a revenue leak that compounds with scale. Adonis automates the detection and resolution layer — surfacing risks before they age and deploying AI agents to resolve denials, delays, and payer friction before they become write-offs.

Healthcare payer complexity has grown steadily as denial rates rise and insurance plans proliferate. AI agents capable of autonomously navigating payer portals, submitting appeals, and tracking resolution across heterogeneous systems only recently reached the reliability threshold required for healthcare's compliance environment. The result: revenue cycle automation is no longer a back-office efficiency play — it's the highest-ROI AI deployment available to any health system.