Basys.ai Named CMS National Finalist for AI-Driven Fraud Detection in Medicare

Basys.ai, an AI-driven prior authorization and utilization management platform, has been selected as a national finalist in the Centers for Medicare & Medicaid Services (CMS) Crushing Fraud, Waste, and Abuse (FWA) Challenge. This recognition highlights Basys.ai's innovative approach in using agentic AI to identify high-risk patterns in medical claims and support earlier detection of improper payments, aligning with CMS's goals of improving Medicare program integrity and affordability. The Basys-INFER platform evaluates complete claim records to detect wasteful services, recommend mitigation strategies, and apply transparent clinical guardrails to ensure responsible AI use in healthcare workflows. Supported by leading health institutions, including the Mayo Clinic, Basys.ai's technology reflects real-world clinical decision patterns and focuses on reducing healthcare waste while improving care quality. The selection as a finalist was part of a national showcase attended by stakeholders from CMS and federal agencies, emphasizing the growing role of AI-driven solutions in healthcare compliance and fraud prevention. Basys.ai continues to participate in national efforts, such as the NCQA-driven AI Working Group, to promote ethical applications of AI within Medicare settings and beyond.