Ideas on leadership, strategy and how work actually works

Transformation is messy. Leadership is harder than the frameworks suggest.

This is where I write about what I see, what the research says, and what I actually think. Some of it is practical. Some of it will challenge the way you think about work.

Topics range from making strategy real and building leadership capability, the quiet fear epidemic running through modern workplaces, what neuroscience actually tells us about performance, how AI is reshaping the way we work and lead, and why being a decent human being is still the most underrated leadership skill there is.

No theory for theory's sake. Just ideas worth your time.

AI isn’t the real threat to your brain. Your organisation is.

Everyone's suddenly worried about what AI is doing to our brains. But I've been watching what organisations do to them for years. The research is finally catching up — and the real problem isn't the tool you're reaching for. It's the system you're working in

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Busy Doesn't Mean Effective: Are You Measuring Work or Results?

Teams default to measuring outputs because that’s easier—tasks completed, calls made, reports delivered. But at the end of the year, the outcomes never materialised. This isn't a capability problem, it's a design problem. Most organisations aren't set up to activate strategic thinking—they're designed for task completion. Here's how to shift from measuring busyness to measuring what actually matters.

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The Capability Myth (and why your best people still can't do their best work)

Most organisations blame people for not thinking strategically—then wonder why training doesn't fix it. Here's the uncomfortable truth: it's not a capability gap, it's a systems gap. Discover how Design for Thinking helps you structure work around how brains actually function.

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Part 3: Brains on: ways of working

A practical way of working that keeps “brains on” while AI brings the speed. We start with a few habits: one main focus per person, protected deep-work blocks, one-line decision logs, clear AI boundaries, and tidy handovers. It builds self-efficacy and better results. Use AI as a power-assist, not an autopilot.

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