What does it actually take to build AI governance that enables innovation instead of slowing it down?

In this episode of “What’s the BUZZ?”, host Andreas Welsch sits down with Walter Haydock, CEO of StackAware, to break down how leaders can move from reactive AI usage to structured, scalable governance without killing momentum.

Together, they discuss why most organizations get AI risk wrong, where governance efforts typically fail, and how to design a program that balances speed, security, and business value. He shares practical insights on defining risk appetite, simplifying policies, and avoiding the extremes that derail AI adoption.

Highlights you’ll get from the conversation:

• Why most companies fall into two traps—“ban AI” or “anything goes”—and how to find the middle ground.
• The three risks every AI leader must address: data confidentiality, IP ownership, and reputation.
• What ISO 42001 actually provides and how it helps operationalize AI governance at any scale.
• The only four ways to handle risk—and why AI doesn’t change these fundamentals.
• How to define risk appetite in real business terms to guide faster, better decisions.
• Why overly complex data classification policies fail—and what to do instead.
• The #1 mistake organizations make when implementing governance programs: unrealistic timelines.

If you want a clear, practical approach to managing AI risk while still moving fast, this episode delivers actionable guidance you can apply immediately.

Listen now to learn how to turn AI governance from a bottleneck into a competitive advantage.

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Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

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