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Session 3 Track 3: Turn Medical Strategy into Field Action: Use Agentic AI to Drive Consistent, Personalized MSL Execution
Session Chair(s)
Patrina Pellett, PhD
Co-CEO, MSL Mastery, United States
MSLs are managing bigger KOL networks, more complex science and higher expectations for personalization, with tools that are fragmented and rarely built for Medical Affairs. Agentic AI can take on the admin load across planning, pre-call, in-call and post-call work, but agents act on whatever direction they get. Without clear medical strategy, they just scale inconsistency. This interactive panel shows how to connect strategy to last-mile execution, with live polling, a hands-on pre-call planning demo and a debate on the people, process and platform needed to make it work.
Learning Objective :
At the conclusion of this session, participants should be able to:
- Evaluate where AI agents fit across the MSL workflow, from territory planning through post-call follow-up
- Analyze how agentic AI links medical strategy to consistent field execution while personalizing for each KOL
- Assess organizational readiness and design an MSL-led adoption approach built on trust
Speaker(s)
Agentic AI for the MSL: Linking Medical Strategy to Consistent and Efficient Field execution
Abhilash Dhara
Engagement Manager, ZS, United States
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