Hindsait Joins CMS Initiative to Overhaul Prior Authorization

Hindsait leverages clinical natural language processing to automate determinations, moving away from manual bottlenecks that have long plagued the U.S. healthcare sector. Pinaki Dasgupta, founder and CEO, emphasized that the company’s AI-driven platform is designed to augment clinical judgment rather than replace it, ensuring processes remain consistent and fully auditable. The firm’s technology is already operational at Wisconsin Physicians Service, where it achieved a 53 percent reduction in processing time for Medicare Part A and Part B claims.

Unlike general-purpose generative models, Hindsait’s engine relies on purpose-built clinical models trained on over 100 million real protected health information records. By keeping data within secure, client-controlled environments, the company avoids the unpredictability often associated with black-box AI systems. With over a decade of production experience and HITRUST CSF and SOC 2 Type II certifications, Hindsait now joins a collaborative effort involving payers, providers, and EHR vendors to standardize end-to-end digital workflows before the 2027 federal requirements take full effect.