AI is now appearing across the clinical trial lifecycle; from protocol planning and feasibility to site selection, data review, reconciliation, patient-facing technologies, oversight, and reporting. But for many clinical trial teams, the real challenge is no longer whether AI is relevant. It is knowing where AI can create meaningful value, where it may introduce unnecessary operational or compliance risk, and how to choose the right place to start.

This webinar will explore how to evaluate AI use cases in clinical trial operations based on business need, workflow fit, data readiness, explainability, human oversight, governance expectations, and implementation effort.
The session is designed to help teams move beyond AI excitement and toward smarter, more defensible decisions about where AI can support clinical trial workflows.