Insights

The 1% rule that transformed British cycling - and why NZ leaders should apply it to AI

The Executive Mirror: Your Team Won't Adopt AI If You Haven't

Your team won't adopt AI if you haven't. Why executive AI fluency — not technical expertise — decides whether adoption actually scales.

You wouldn't parent like it's 1995. So why are you still leading that way?

Command-and-control leadership is colliding with AI. Why outcome-led, trust-based leadership is no longer optional for NZ leaders.

Executive Cloning: What if you could actually clone yourself?

Zuckerberg wants an AI to handle his internal comms so he can write code. Most leaders won't admit what they'd offload. Here's why they should.

Upskilling vs. Replacing: Why it’s cheaper (and better) to train your experts in AI than to hire "AI experts"

Hiring an AI expert won't make your organisation AI-ready. The real IP lives in your people — upskill them, or lose both expertise and institutional memory.

The End of "Busy Work": What your team can achieve when they aren't stuck in spreadsheets

Your best people aren't leaving because of salary. They're leaving because their days are full of work that shouldn't require a human.

Wheelies, wipeouts and the best leadership lesson I've had all year!

Investing millions in AI? If your people are too afraid to experiment, none of it will land. The real ROI starts with psychological safety.

The belief comes first. The performance follows.

Watching his sons prepare for football season, Nick makes the case that belief precedes performance — not the other way around.

How AI turns a dashboard into an engine for enquiry

Leaders stop asking questions when the data is too hard to get at. AI changes that — turning curiosity into real-time answers without the delay or compromise.

The Gap Between What We Say and What We Do

A leadership team believed in their culture. Two days walking the floors told a different story. That gap is where real change has to start.

Stop Counting Blades of Grass

Most reporting problems start before a single row of data is pulled. Four questions to ask before you open a spreadsheet.