Try searching for

In highly regulated industries, AI was once seen as a risky experiment avoided not for lack of belief in innovation, but because the cost of getting it wrong felt too high. Today, the greater risk is standing still. 


This session follows the real-world journey of a global life science manufacturer: from initial risk and strict security barriers to building a strong GenAI foundation and addressing critical business pain points. You’ll see how targeted adoption, anchored in trust, co-creation, and measurable outcomes, transformed AI from a theoretical risk into an essential part of daily operations. 


Join us as we explore the path from “AI isn’t for us” to “AI is integral for our strategy,” with concrete examples of how GenAI drives efficiency, quality, and competitive advantage, even in the most regulated settings. 


Aspired learning impact 


This session will give you:

  • A behind-the-scenes look at how a life science manufacturer built trust and confidence in AI by maturing fast, safely, and in a controlled way
  • A concrete view of how a critical process like deviation management became the first real test case, showing how GenAI can address high‑risk, high‑volume problems in regulated environments

When using the learnings, you’ll be able to:

  • Apply the two‑lane approach, building foundational trust and personal productivity while targeting high‑impact processes for organisational value
  • Identify, prioritise, and implement AI solutions that balance business value, and real adoption, ensuring impact becomes sustainable rather than a one‑off

Any questions?