The journal

Notes on technology and transformation

Long-form thinking on AI, digital change, and the practical craft of moving organisations forward. Read by topic, or start from the top.

Showing 6 articles

The most important AI changes are not the ones making headlines. They are the small, unglamorous improvements happening inside ordinary workflows.

Every failed transformation has a technical explanation and a human one. The human one is usually more accurate.

Pilots are easy to start and hard to finish. Here is what it takes to move an AI experiment into everyday operations.

Resilience is not a disaster-recovery plan bolted on at the end. It is a property of how you design systems, teams, and decisions.

Four common assumptions that quietly undermine transformation — and what to do instead.

Not every problem needs the largest model. Matching capability to context is one of the most useful skills in applied AI.