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 Marketing
00:55 Evolution of AI in Pharma
02:34 The Shift to Autonomous AI
03:49 Reimagining Workflows with AI
05:10 Building Trust in AI
06:23 Data Foundations for AI Success
07:47 Continuous Learning and AI Literacy
09:31 The Future Role of Humans in AI
12:19 Security and Compliance in AI
14:11 Human Oversight in Regulated Industries
15:56 Hot or Not: AI Statements
23:45 Conclusion and Key Takeaways
Discover more platforms to listen to this podcast: https://rss.com/podcasts/pharma-talks/
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Follow Viseven, Nataliya, and Michal in social media:
https://www.linkedin.com/company/2907491
https://www.linkedin.com/in/andreychuk/
https://www.linkedin.com/in/mdojlidko/
