Twenty-five years turning disruptive technology into something people actually use — BI consulting and training, twenty years building independent businesses from zero, a decade of 1:1 coaching through major life transitions, and three years shipping AI products solo.
About
I started my career in 2000 at a BI consultancy — and within two years I was the one sent to train rooms of people internationally on how to actually use the systems. Explaining complex things to non-technical people wasn't something I learned later; it's what I was hired to do first.
Twenty years of independent building followed — a self-built web platform, an art practice built from nothing into international exhibitions (a genuinely hard sell when nobody starts out knowing your work), image services on the side, and a decade of 1:1 coaching guiding people through personal transition. That decade is what connects directly to now: helping someone find their footing with something unfamiliar and uncertain is exactly what AI adoption looks like inside an organisation. The technology changes. The human dynamics don't.
Since 2024 I've been building with AI hands-on — a mobile app I developed and later sunset (GuruCat), a generative-AI e-commerce operation with 600+ SKUs (Posterprints.art), and Omega Praxis, an AI-powered B2B platform I built and run solo. I don't describe AI from a distance. I ship with it.
The thread through all of it: I've spent 25 years doing exactly what AI adoption roles require — translating new, disruptive technology into something a room of non-technical people can actually use. I've lived through and rebuilt across four separate technology disruptions: dot-com/BI, the early web, mobile apps, and now AI. That's not a pivot. That's a pattern.
What I do
What that throughline looks like in practice depends on what a given mission actually needs. Sometimes it's running hands-on AI adoption workshops that leave teams with something they built, not just a demo they watched. Sometimes it's building use-case libraries and prompt guides mapped to how a team actually works, not generic templates. Often it's 1:1 or small-group coaching — helping people move past the discomfort of change, which a decade of guiding people through major life transitions taught me is almost never a technical problem. And it always involves translation: turning what AI can and can't realistically do into language leadership can act on, without hype or jargon.
The common thread isn't a fixed service list — it's twenty-five years of figuring out what a specific disruption actually requires, then doing that.
Proof
Writing
Notes on AI adoption, change management, and what actually works when organisations try to bring AI into daily work.
Most AI adoption programmes start with a demo. That's the problem. Here's what actually moves people from curiosity to competence.
Organisations hire engineers to build AI systems. They forget to hire someone to help people use them. Here's why that gap is where transformation stalls.
GuruCat, Posterprints.art, Omega Praxis — three AI products built alone. Here's what shipping solo teaches you about organisational AI adoption that no certification can.
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