Certification webinar

AI in GxP: 3 practical use cases in life science right now

You know AI can help. The hard part is knowing where to start – and what will hold up in an audit.

Learn three AI use cases you can put to work in GxP right away.

September 24th, 2026

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AI in life science is long past the proof-of-concept stage

And the technology can do almost anything.

The real question now is how you turn the AI toolbox into something that creates value close to critical GxP processes – and something you can stand behind when the auditor asks.

Where do you start? How do you make sure what you build holds up to GxP requirements from day one? And do you want to own the technology or the process?

In this webinar, co-founder and CPO of MugAIn Group, Phillip Kroll-Møller, and co-founder and CQO of Eupry, Jakob Konradsen, show what that looks like in practice. One of the three use cases is built live during the session.

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Sign up for the webinar

Learn 3 AI use cases you can put to work in GxP right now.

Date: September 24th, 2026

Time: 10 a.m. EDT/3 p.m. BST/4 p.m. CEST

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Key takeaways

  • 3 AI use cases that show practical value in pharma
  • What GxP and the coming AI regulation (EU AI Act, draft Annex 22) require
  • How to turn GxP (draft Annex 22) and the AI regulation (EU AI Act) from principles to practice
  • What real "human in the loop" should look like
  • How to get AI that fits your process instead of changing your process to fit the tool

The 3 use cases

  1. Reclassify your data at scale: Describe your taxonomy in plain language and let AI reclassify thousands of deviations, change requests, or trend reports, turning the data you already have into parameters worth monitoring.
  2. Multi-agent analysis for systematic problem solving: An orchestrated set of agents working across tablet-production data sources and event logs to support deviation analysis.
  3. HPLC logbook review: An agent built live during the session, trending errors and solutions to identify the biggest problem contributors.

The same question runs under all three: Who is actually in charge? Not a reviewer rubber-stamping AI output, but the expert in the driver's seat, delegating the slow assembling work while owning the approach, direction, and quality. That only holds if you can verify what comes back. And you can only verify what you understand.

About the speakers

Phillip Kroll-Møller is co-founder and CPO of MugAIn Group, where he builds AI that works with critical, GxP-regulated processes in life science production. His focus is on putting compliant AI in the hands of the domain experts closest to the process, with design and guardrails that make compliance part of the work itself. Before founding MugAIn, he spent nearly eight years at Novo Nordisk, most recently as Product Owner of an enterprise GenAI platform serving more than 25,000 users.

Jakob Konradsen is co-founder and Chief Quality Officer at Eupry, where he sets the quality strategy across the company – from SOPs to product development – making sure Eupry's solutions meet the highest quality standards and GxP demands. With more than a decade at the intersection of environmental monitoring and GxP compliance, he brings the quality and regulatory perspective to the conversation.

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About MugAIn Group

MugAIn Group builds AI that works close to critical, GxP-regulated processes in life science production. The goal is to let domain experts turn their process knowledge into working solutions, where design and guardrails make compliance a natural part of building rather than a separate exercise. MugAIn was founded by Phillip Kroll-Møller, Michael Møllmann, and Jens Jepsen, and with partner Mark Lindhardt, they draw on nearly 60 years of combined experience in life science, from pharmaceutical and MedTech production to enterprise AI.

About Eupry

Eupry helps pharmaceutical and life science companies replace manual, fragmented environmental monitoring with one continuous, audit-ready compliance platform, covering temperature, humidity, CO₂, and differential pressure across monitoring, mapping, and calibration. Founded in 2014, Eupry supports more than 1,000 organizations in 50+ countries, and is certified to, among others, ISO 17025, ISO 9001, and ISO 27001.