As AI moves from isolated, small-scale solutions to enterprise-wide deployment, organisations face challenges around integration, scalability, governance, and regulatory compliance. For highly regulated businesses like AstraZeneca, deploying AI responsibly at scale is complex and rarely linear.

 

In this session, Isabell will share lessons from leading AI product development at AstraZeneca. Drawing from her experience across R&D, Finance, Commercial, Operations, and HR, she has navigated the evolution from predictable, purpose-built systems based on traditional ML models to adaptable solutions leveraging agentic AI that are simultaneously more powerful and harder to govern.

 

The session will cover practical insight into what worked, what failed, and critical factors for sustainable AI at scale: following business processes, putting humans before technology, building for rapid AI evolution, and addressing governance and trust early.