AI in GxP today: What's working, what's risky, and what's next
Is AI going to be a game-changer in GxP? The FDA already published a discussion paper, and the EU is working on regulations as we speak. Learn what's working, what's risky, and what the regulators are discussing.
- Examples of AI use cases in GxP today
- The biggest risks and how to spot them
- Questions to ask before deploying AI
AI is already delivering value in GxP fields
when treated as a risk-based topic rather than a shiny tool.
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AI is entering GxP fast. Understand what is real, where it fails, and which mistakes to avoid.
When: January 21st, 2026
- 9.30 A.M. CST
- 10.30 A.M. EST
- 3.30 P.M. GMT
- 4.30 P.M. CET
But what is real, what is hype, and what are the quality risks to look out for?
In this certification webinar, we are diving into the use of AI in GxP: How to use it and which traps to avoid. Plus, sharing our take on where AI in GxP is going.
We’ll ground the session in ISPE’s GAMP 5 Second Edition and the new GAMP Guide on Artificial Intelligence, then examine the regulatory frontier:
The FDA’s AI in drug manufacturing research paper and the EU’s draft GMP Annex 22 on AI in GMP.
Do you know enough to avoid the mistakes others are making?
You will! Walk away knowing where AI fits into your GxP setting.
Key takeaways
- How and why to use AI in general
- The biggest pitfalls of AI and how to avoid them
- Examples of where AI is working in GxP today
- What is coming next for AI in GxP
- Questions to ask yourself (or your vendors) before deploying AI
About the speakers
- Jakob Konradsen is co-founder and Chief Quality Officer at Eupry. He is responsible for setting the quality strategy across all areas of the company, from developing SOPs to supporting product development in ensuring Eupry’s solutions continuously live up to the highest quality standards and meet GxP demands.
- Stefan Voinea is a Senior Product Manager at Eupry, where - among many other things - he builds AI agents to scale operations and accelerate compliant innovation across GxP workflows. Previously at the World Health Organization, he served as Project Manager and Technical Lead and co-authored research on AI’s risks and opportunities in health. His focus is on building AI designed with humans in the loop and guardrails that prioritize patient safety, product quality, and data integrity.
And earn a certificate for your participation.
