For years, sponsors have pursued incremental gains in clinical development through process improvement and task-based automation. But as protocols become more complex and operational demands intensify, many organizations are discovering that efficiency challenges often stem not from individual tasks, but from the gaps between them.
In this sponsored episode of The Top Line, IQVIA's Greg Lever explores how agentic AI could reshape clinical trial execution by coordinating work across systems, teams and workflows. Rather than focusing solely on automating discrete activities, agentic approaches aim to reduce delays caused by handoffs, disconnected processes and fragmented data environments.
The discussion also examines what separates successful AI initiatives from stalled pilots. Lever points to three critical requirements: connected data foundations, governance frameworks that promote transparency and accountability, and change management strategies that encourage adoption. Listen now to hear why the next chapter of clinical innovation may depend as much on operating model transformation as it does on technology.