Loading Events

« All Events

  • This event has passed.

Trinzo to Close 2026 AI Series with Practical Session on Building AI Capability I ONLINE

July 21 @ 2:00 pm 3:00 pm

Trinzo will host the fifth and final session of its 2026 AI virtual live event series on Tuesday, 21 July 2026, focusing on one of the most pressing questions facing regulated teams today: how do organisations move from isolated AI projects to a trusted, repeatable AI capability?

As AI adoption accelerates across Quality, Regulatory and R&D functions, many organisations are finding that experimenting with AI is not the same as embedding it into everyday work. That is the challenge this session is designed to address.

Rather than focusing on hype or distant automation scenarios, the event is positioned around practical delivery. It will explore how AI can support day-to-day project work across planning, scheduling, risk management and documentation, while keeping experienced professionals firmly in control.

The session will feature Kathryn Cullen, Colm O’Rourke and Conor Flynn, and will include a live demonstration of AI applied to project management in regulated environments. According to the event description, attendees can expect:

  • a live demonstration showing how AI can turn a Statement of Work into plans, schedules, risk registers and documentation
  • a practical Crawl, Walk, Run AI maturity model to help organisations assess where they are today
  • an honest comparison of Claude, ChatGPT and Gemini on real regulated work
  • five practical lessons for making AI adoption stick inside organisations

That is what makes this event especially relevant.

It is not simply asking whether AI works. It is asking how AI can be introduced in a way that is consistent, trusted and compliant across regulated teams.

At AI Dubliners, we see events like this as important signals.

Because the future of AI in regulated industries will not be shaped only by model capability. It will be shaped by how organisations build the habits, governance and internal confidence needed to use these systems well.