Erica Butler

Most pharma commercial teams have more data than ever and still can't make a market-shaping decision in the moment it matters. The insight arrives. The AI makes a recommendation. And then it sits there, waiting on approvals, hand-offs, and systems that weren't built to move at the speed of opportunity. This session is about closing that loop.

Through a hands-on group activity, participants will work a real commercial scenario and audit exactly where their organization's decisioning breaks down. Where does trust in the data collapse? Where does context go missing? Where does a recommendation stop short of execution? The answers are different for every organization. The pattern underneath them is remarkably consistent.

Participants will leave with a clear picture of what's standing between their current state and an ecosystem where insight and action are the same motion.

• Diagnosing the gap between commercial insight and real-time execution across launch, established brand, and access scenarios
• Understanding the infrastructure sequence that enables enterprise decisioning from trusted data foundations through connected execution
• Identifying the single breakdown point that matters most in your organization and what resolves it
• Seeing what becomes possible when AI recommendations are wired to action, not just analysis