by Wayne Pales | Mar 15, 2026
I used to explain our AI risk approach with frameworks and matrices. Eyes glazed, meetings ran long, and people left no clearer about what they could actually do on Monday. Now I explain it with one word: zones. The idea is almost embarrassingly simple. Not all AI use...
by Wayne Pales | Mar 8, 2026
The most uncomfortable position I’ve taken this year is this one: using AI to amplify your work is an expectation, not an option. I resisted it for months. Everything in modern change management argues against it. Bring people along. Respect different paces. Let...
by Wayne Pales | Mar 1, 2026
When we first sat down to design AI governance, we did the obvious thing. We started listing risks. Data leakage, hallucination, bias, privacy, model drift, vendor lock-in. The list grew fast, as risk lists do. Workshops were held. The spreadsheet acquired colour...
by Wayne Pales | Feb 22, 2026
Every AI-generated meeting summary in our organisation carries a line stating that it was generated by AI and may contain errors. It’s the least sophisticated control we have, and it’s done more for trust than anything else we’ve built. That still...
by Wayne Pales | Feb 15, 2026
“Human-in-the-loop” became our favourite comfort phrase. Every AI conversation with a nervous stakeholder eventually reached it. Don’t worry, there’s a human in the loop. Nods, relief, next agenda item. Then I started looking closely at what...
by Wayne Pales | Feb 8, 2026
Once we opened AI up broadly, a particular question started arriving from every direction. Am I allowed to use it for this? At first I treated these as policy questions and answered them as policy questions. Yes for this, no for that, here’s the guidance page....
