Suvoda launched an updated randomization and clinical trial supply management (RTSM) system that incorporates agentic AI, aiming to compress trial startup timelines and reduce manual configuration and amendment work. Chief Product Officer E.K. Koh said the system can translate protocol requirements into study specifications, generate configuration and customization code, build test scripts, and respond to change orders when protocols shift. In preliminary testing, Koh said the agentic workflow can move sponsors from project kick-off to user acceptance testing (UAT) in as little as two weeks and represents up to an 80% reduction in RTSM startup timelines. The approach emphasizes a human-in-the-loop model that generates documentation for signoff at the right time. For sponsors and CROs, faster RTSM cycle times can directly impact site readiness, randomization readiness, and the ability to accommodate mid-study protocol changes without cascading delays.