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The Duality That Dissolved

When we began scaling GenAI, I described the challenge as a duality: risk on one side, opportunity on the other, and leadership as the act of navigating between them. Most organisations I’d worked in resolved that tension with control: heavy-handed access...

Beware The AI You Don’t Run

Most of the AI conversation inside organisations is about our own program: our tools, our people, our processes, our governance. But step back and look at where your spend actually goes. Managed services. System integrators. Software development partners....

Is AI Making It Time To Retire Cloud First?

For a decade or more, “cloud first” was the responsible answer, and “SaaS first” its natural extension. I’m now convinced that, as a default, it should be dead. Somewhere along the way it stopped being a strategy and became a habit. If...

The Amplification Dilemma

When I say our AI program is about amplifying our people, not replacing them, I mean it. But, such an outcome cannot be guaranteed. Our software engineers now use AI to hunt defects in production code. Much of what it finds, the team already knew about: weaknesses...

Name Your Agents. Never Promote Them.

I’ve argued before that you should give your AI agents a name. I stand by it. Naming works because it forces clarity: once an agent is “Alex” rather than “the tool”, you have to decide its job, what it can access, what good output looks...

What Is a Digital Business in the Age of AI?

I’ve spent a good part of my career around digital transformation, and there is a question AI has forced me to reopen: what is a digital business now? Some things haven’t changed. Transformation was never really about technology; it’s about...