Agentic AI has moved pharma from answering questions to autonomously orchestrating entire workflows — but most organisations are still building the foundations it needs to run well. In this episode, Nataliya Andreychuk talks with Michal Dojlidko about what agentic AI actually requires in practice: the right data, the right guardrails, continuous upskilling, and a clear-eyed view of where humans still belong in the loop.

Key topics

Evolution of AI in pharma from answering questions to autonomous workflows

Importance of trust and data foundations in AI adoption

Regulatory considerations and human oversight in agentic AI

Future roles of humans as strategists and overseers of AI

Technological advancements enabling secure, scalable AI solutions

Chapters

00:00 Introduction to Agentic AI in Pharma Marketi ...