I help organisations exist in AI’s understanding of the world.
That’s the slogan. What it means in practice: I build the context architecture that makes AI systems reliably effective for the organisations that use them. Data infrastructure that AI can actually read. Frameworks that hold up when AI is doing the selling, the recommending, the answering.
I work independently now. Before that, I spent fifteen years inside organisations building this kind of infrastructure from scratch. At WTA, I designed the CDP as the central intelligence layer for a billion-fan global sports property, responsible for schema architecture, technical requirements, and aligning engineering, commercial and marketing stakeholders around shared data foundations. At wagamama, I took the organisation from zero first-party data to a live loyalty platform over five years. ROAS from 2:1 to 5:1. 30%+ engagement uplift across email and digital channels at a major national brand. Six-figure infrastructure investments secured.
I’m a commercial person who builds technical things. Or a technical person who understands commercial outcomes. I’m not sure which framing is more useful, but I suspect it depends on who’s asking.
Core capabilities: Context Architecture and AEO, Customer Data Platforms (CDP strategy, schema design, identity, consent), Marketing Technology architecture, cross-functional delivery, and zero-to-one platform builds.
If you’re trying to figure out why AI isn’t citing your brand, why your CDP implementation isn’t delivering, or why your AI pilots aren’t moving the needle, I suspect I can help.