15 years building one of the world's leading AI practices — from a Formula 1 garage to a 1,500-person global capability inside McKinsey. Now I work hands-on with the people shaping what comes next.
I work with AI-native founders as a co-founder, advisor, and investor — not from the sidelines, but in the work. I've built and scaled a company from five people to a global acquisition, and I bring that operator perspective to every founder relationship.
Joint ventures and elastic access to distinctive AI product engineers through Progression Labs, our applied product engineering studio. We ship MVPs and scale production systems — not decks.
Active angel investor with 25+ investments across climate tech, health, fintech, HR tech, and enterprise AI. I join early rounds, introduce to other angels and VCs, and then stay useful — with product strategy, hiring, enterprise introductions, and follow-on capital.
Targeted introductions to design partners, distinctive AI engineering talent, and aligned capital — at the moments where leverage actually matters. Curated through years of building AI founder, engineer, and angel networks across Europe and the US.
I don't advise from the outside. I embed inside organisations as a fractional product and engineering leader — sitting in the leadership team, running the workshops, shaping the architecture, and helping teams adopt product-led ways of working.
Shifting organisations from project-based IT delivery to empowered AI-native product teams. Introducing quarterly OKR cycles, domain-led team topologies, and modern engineering practices.
Reorienting AI investment away from "pilot theatre" toward measurable outcomes. Selecting architectures, standing up engineering teams, and building the systems that let organisations keep improving after I leave.
Embedding the culture, processes, and technical skills required for an organisation to innovate and scale AI product engineering on its own. Done this for 200+ person digital organisations across education, health, and international development.
I help VC/PE venture partners make better decisions about AI — before, during, and after they invest.
Hands-on technical due diligence that separates genuine AI IP from wrapper-thin hype. Reviewed hundreds of AI companies and know what real engineering looks like versus demo-ware.
Operating partner and board-level support to help portfolio companies make the right product, hiring, and architecture decisions early — when it's cheap to get right and expensive to get wrong.
Because I work inside large organisations as a fractional leader, I have current, first-hand insight into what enterprise buyers actually need, how they buy, and what makes them renew.