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When someone makes a mistake, it’s easy to say they should have used common sense. But what if the real problem is the system? Michelle Johnson explores why businesses need to turn invisible knowledge into clear, usable controls, and why this matters even more as AI becomes part of the workforce.

AI can amplify organisational capability, but it can also expose weak processes, poor data, unclear ownership and low-judgement work. Here’s what leaders need to inspect before scaling AI.

AI adoption is full of confident promises, but real transformation needs clearer thinking, better governance and a willingness to say when the emperor has no clothes.

Was AI ever meant to level the playing field? Or did we just assume it would? Early research was promising, with AI (especially Generative AI) being seen as a tool that would enhance productivity for everyone. It made marginal writers better, enhanced the quality of routine legal tasks, and made novice customer-support agents 34% more productive, with faster and more effective query resolution. And we embraced that research, framing AI as something that would increase produ

Here’s How We Fix It Most AI training courses fail to deliver real value. Some programs only teach simple prompting techniques, while...