AI Governance: Who Controls What AI Can Do? | 3rd Europe Huddle
AI adoption is moving quickly across software teams, but the harder questions often come after the tools are introduced.
Who decides what AI should be allowed to do? Who is accountable when it makes a poor decision? And how should organisations define boundaries without blocking useful experimentation?
This Huddle focuses on those questions through a session on AI governance, leadership, accountability, and the structure organisations need as AI becomes part of everyday work.
Event Details
Date: 24 September 2026
Time: 04:00 PM – 06:00 PM CET
Platform: Online via Zoom
What's on the Agenda?
AI Governance
Speaker: Aditi Agrawal, Senior Director of Quality Engineering & Automation at Myridius
As AI becomes part of how teams build, test, and deliver software, governance becomes a question of ownership, boundaries, and accountability.
In this session, Aditi will explore why AI governance matters and what organisations need to consider when creating a framework around how AI is used.
The session will cover:
Why AI Governance Matters: Why governance needs to evolve as AI adoption grows
The 3 Pillars of Governance: A practical framework for thinking about AI governance
Real-Life Example: An example that brings the governance concepts into a concrete setting
Closing: Key considerations for leaders navigating AI adoption
How This Huddle Solves Your Problem
AI adoption can move faster than the policies, responsibilities, and controls around it.
This session will help you think more clearly about:
Where governance needs to keep pace with AI adoption
How leadership and accountability fit into AI-enabled organisations
How governance can define clearer boundaries around what AI can and cannot do
How the three pillars can provide a practical starting point for structuring those decisions
Why Show Up on 24 September?
This Huddle is an opportunity to look at AI governance as an organisational problem, not only a technical one.
You will be able to hear Aditi’s framework, see how it applies through a real-life example, and ask questions about how leadership, accountability, and boundaries can be handled as AI adoption expands.
The session will be relevant to QA professionals, engineering leaders, technology practitioners, and others involved in deciding how AI should be introduced and governed within their teams.
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