OPEN APPLICATION · 01

AI RCM
See claims operating risks clearly.

For group health and commercial insurance operations, it organizes loss ratios, risk leads, evidence and a human follow-up loop around policy, customer, claims and provider data.

Discuss the AI RCM application

AI RCM application workspace — Willow · AI RCMIllustrative product interface

INPUT

Operating data at multiple levels

Policy, customer, member, claims, provider and review follow-up information, with sources, scope, data quality and exclusion logic preserved.

JUDGMENT

Risks are not conclusions

Loss ratio pressure, provider anomalies, claim denial reasons and FWA serve only as explainable leads for human review, not as established facts.

ACTION

Bring evidence into the loop

Risk rules, evidence snapshots, AI summaries, human claims review, follow-up tasks and rescan verification are organized into one workflow.

Bring claims performance and risk assessments back to evidence.

Changes in claims performance need reviewable risk signals, source data and human assessment. Organize multi-level performance data, explain risk signals, preserve evidence and support human review and follow-up. Designed with demonstration materials; risk signals are not established facts. Confirm integration and implementation scope.

Conditions for getting started

Designed / Demo materials available · Designed with demonstration materials; risk signals are not established facts. Confirm integration and implementation scope.