AI pilots in clinical trials are easy to start but prove difficult to scale, with 95% failing beyond proof of concept. While traditional AI tools can support patient eligibility screening, protocol feasibility, and monitoring, organizations are now looking for AI to do more — from proactive recommendations and cross-functional coordination to faster, data-driven decisions. In this 60-minute session, clinical trial leaders share practical strategies for moving AI initiatives from isolated pilots to enterprise adoption, including governance, validation, and internal consensus-building.