Basys.ai announced that it has partnered with ePathUSA, the prime contractor for the CMS Artificial Intelligence Medical Record Review (AI MRR) pilot, to support an initiative aimed at strengthening program integrity and improving the efficiency of medical record review processes.

Medical record review plays a critical role in ensuring compliance across federal healthcare programs and identifying potential instances of fraud, waste, and abuse. Through this engagement, Basys.ai and ePathUSA will contribute their agentic AI infrastructure designed for healthcare workflows and Fraud, Waste, and Abuse (FWA)-tested, helping augment human reviewers with systems capable of interpreting medical records, analysing documentation, and supporting transparent, auditable review processes.

"This collaboration represents an important opportunity to apply agentic AI to one of the most complex operational challenges in healthcare," said Amber Nigam, CEO of Basys.ai. "Program integrity requires systems that can interpret complex medical documentation while maintaining accuracy, transparency, and alignment with regulatory frameworks. Our focus is on leveraging our deep expertise on utilisation management and FWA, and building new AI systems that can operate reliably in real healthcare environments."

Basys.ai develops domain-specific AI systems designed to support complex clinical and administrative workflows across healthcare organisations. The company's technology helps healthcare stakeholders interpret policies, analyse medical records, and improve the efficiency of operational processes that traditionally require extensive manual review.

"As the prime contractor for the AI Medical Record Review pilot, ePathUSA is focused on bringing together operational expertise and advanced AI capabilities to support CMS's program integrity mission," said Hari Nallure, President of ePathUSA. "Our collaboration with Basys.ai allows us to combine innovative AI technologies with practical implementation experience to evaluate how AI can improve the efficiency, accuracy, and transparency of medical record review."