
My focus is enterprise AI adoption: how you make it safe, scalable and useful across a large, complex organisation.
Outside work, I build and test my own AI systems and tools to understand what's actually possible, what works for me, and what might translate back into enterprise adoption.
What I'm learning about making AI useful inside large organisations.
A working approach for moving from access to AI tools towards change the organisation can rely on.
Assessing individual and organisational readiness against the feature set of the tools you actually have.
Why every solution needs a subject matter expert with the right level of digital maturity to help scope it, own it and maintain it after the build.
Things I build and test to understand what AI can actually do.
If you're rolling this out somewhere, I'd love to connect — comparing notes with people doing the actual work is the most useful part of this.