As clinical trials grow more complex across CROs, vendors, and data sources, sponsor teams are under increasing pressure to review data faster while maintaining clear oversight, traceability, and control. At the same time, many review workflows still depend on fragmented tools, manual listings, and programming queues that slow issue detection and make decisions harder to defend.
This session will explore how sponsor organizations can operationalize agentic AI in a governed, human-in-the-loop model to strengthen clinical oversight without compromising quality or compliance. We will examine a practical approach that connects data review, issue management, and decision documentation in a sponsor-controlled environment, while using AI to accelerate custom listings, triage, and review preparation.
Attendees will learn how this model can help teams move from manual, disconnected review to faster, more traceable oversight across studies and partners. The discussion will also highlight how AI-augmented workflows can support earlier signal visibility, clearer follow-up, and more inspection-ready documentation in the context of modern GCP expectations.