Technology leadership today isn’t about running a digital transformation programme. It’s about whether your teams can keep shipping well as AI accelerates everything around them — without losing the judgment that made them good in the first place.
Let’s build technology leadership that keeps shipping, whatever changes next
The constraint on most engineering organisations today isn’t technology adoption — it’s whether leadership can remove the friction that slows teams down before reaching for more tooling. A Digital Strategy still matters, but strategy alone doesn’t ship anything. The organisations pulling ahead are the ones codifying the judgment that keeps quality intact at speed, and building the trust that lets leaders make the case for slowing down when it actually matters.
Real technology leadership shows up in the unglamorous work: removing friction before adding AI, codifying decisions so a team doesn’t depend on one person’s memory, and building the kind of trust with stakeholders that survives the moments when things go wrong. This impacts every part of the business, including:
- Engineering
- Developer friction and velocity
- Codification of judgment, not just process
- AI-assisted delivery without losing quality
- Leadership
- Trust and credibility with stakeholders
- Team topology and organisational design
- Governance that doesn’t block AI adoption
- Strategy
- Sequencing: codify before you automate
- Technology and product operating as one function
Contact me to find out how I can help with Technology Leadership
-
Gall’s Law: Why Your Transformation Programme Will Fail
Complex systems that work evolved from simple systems that worked. Gall’s Law explains why transformation programmes fail, and what the alternative looks like.
-
The Malthusian Effect of AI
Malthus was wrong. He predicted that population growth would outpace food production, leading to inevitable societal collapse. Technology proved him spectacularly wrong — agricultural productivity grew faster than he imagined possible, and the catastrophe never came. But there is something worth salvaging from his framework — and I use it carefully, because Malthusian has become…
-
The Age of the Renaissance Professional
For all of my career, depth has been the signal. The person who had gone deepest in their domain — who had spent years becoming genuinely expert — was the most valuable person in the room. Promotions, influence, deference: all of it flowed to the specialist. AI is changing that calculus. Not because expertise is…