Articles

Resistance to change is rarely a mindset problem. Why it is often a rational judgement, what it is telling you, and how a simple timesheet change proved the point.

Building with AI speeds up delivery without changing its fundamentals. What I learned from months of experimenting, and the habits that make it work.

Governance should only slow down decisions that are hard to reverse or costly to get wrong. Drawing on Bezos's one-way/two-way door framework and NIST's AI risk principles, this piece argues most gates just add delay dressed up as control.

A status update that said "we're on track" masked a dependency that had blocked three teams for over a week. Here's why that silence was a leadership failure, not a communication one.

AI adoption rarely fails because the model is wrong. It fails when people stop believing what they were told. A short, sharp look at what breaks trust during an AI rollout, and what leaders can do before it does.

Six blind spots identified. Now the fix. Part 2 of 2: the five principles that turn AI adoption from a leadership liability into a genuine advantage.

The loudest AI risks are rarely the ones causing the most damage. Part 1 of 2: the six quiet, organisational blind spots turning AI adoption into a leadership liability.

AI adoption is not struggling because the technology is immature. It is repeating the same failure patterns that sank ERP rollouts and cloud migrations before it, and the fix is the same five-point diagnostic.

Effort is not a delivery strategy. Ownership is. Why busyness has become a stand-in for accountability on transformation programmes, and why AI makes the gap more dangerous, not less.

Most organisations are about to repeat the Agile transformation failure, just with a new name. The pattern from a decade ago is showing up again, and this time it has a bigger budget.

You do not need to have all the answers about AI. You need to stop pretending you do. Why the leaders who guide teams well through AI-driven change are the ones honest about their own uncertainty.

The real reasons programmes run late are not scope creep or poor planning. They are the things nobody puts in writing. A delivery leader's honest read.