Practical, executive-level perspectives on strategy, transformation and AI — publishing soon.
A practical framework for how CEOs should approach AI adoption at the operating-model level, not just the tooling level.
Why treating AI as a destination, rather than a capability in service of strategy, leads programmes astray.
Separating genuine productivity and decision-support gains from AI initiatives that generate activity without impact.
The operational and organisational reasons transformation stalls after the strategy has already been agreed.
Moving beyond point automation toward an operating model where AI is embedded in how decisions get made.
What changes — and what doesn't — for leadership teams as AI takes on more operational responsibility.
A practical lens for weighing AI investment decisions against business priorities rather than market noise.
The organisational, data and process foundations that need to be in place before AI can be deployed effectively.
Sequencing technology change so it strengthens the organisation rather than destabilising it.
What sustained productivity gains from AI actually require at the operational level.
If you are considering a major change in strategy, operations, technology or AI adoption, let's have a confidential conversation about the challenge.