I help enterprise teams take AI from proof of concept to production. As a maintainer of the Model Context Protocol, I bring first-hand knowledge of how AI agents connect to enterprise systems - and I stay through delivery to make sure the architecture actually ships.
I work with CTOs, VPs of Engineering, and executive teams on the AI decisions that have long-term compounding impact.
Design and deliver production AI agent systems that connect to your enterprise infrastructure. As an MCP maintainer, I architect the agent workflows, policy boundaries, and observability layer - then help your team ship it.
Your AI strategy is only as good as the platform underneath it. I define target-state architectures that make your systems AI-addressable - domain-driven, event-enabled, and designed for the integrations AI agents need.
Before you build, you need to know what to build and where the guardrails are. I help leadership teams assess AI readiness, define governance frameworks, and make build-versus-buy decisions grounded in real constraints.
Extend your engineering capacity with senior dedicated teams built for AI delivery. Architecturally aligned from day one, integrated into your organisation, and focused on shipping production AI.
Most of my work is in enterprise commerce and customer platforms - the systems where AI creates the most immediate operational value. I've led architecture and delivery programmes for brands including Pandora, Birkenstock, Le Creuset, La Prairie, Mizuno, Daily Mail, and Air Malta - across composable re-platforms, legacy migrations, and AI-enabled customer operations.