ChatGPT: Leading AI Adoption
The expert rung: turn personal skill into team capability with standards, guardrails, enablement, and honest measurement.
Choosing the right jobs for AI
Most failed AI rollouts picked the wrong job Teams often aim AI at whatever is most visible rather than what actually suits it. The result is a tool that impresses in a demo and quietly gets abandoned. What AI is genuinely good at First drafts of things a human will review anyway. Reshaping — summarising, […]
Resistance is information, not obstruction
The people pushing back usually know something you do not Every rollout meets resistance, and the standard response is to treat it as a communication problem — more training, better messaging, an enthusiastic email from a senior leader. That works when the objection is unfamiliarity. It fails completely when the objection is correct. Four objections, […]
Writing a policy people will actually follow
Most AI policies fail the same way They are long, they are written to protect the organisation rather than to help the reader, and they say “do not” without saying “instead”. People read them once, conclude that everything interesting is forbidden, and carry on using their personal accounts where nobody can see. That last outcome […]
When to stop, and how to say so
The hardest thing an AI lead does is recommend not doing it You have measured the impact, run the pilots, and built the guardrails. Some of what you tried has not worked, and there is enormous organisational pressure to describe it as a success anyway — budget was spent, expectations were set, and “AI initiative […]