The Allure of the MVP
Why your AI prototype and your production system aren't on the same trajectory.
I help leadership teams turn AI strategy into deployed, governed, production-grade capability. Most organisations have both a strategy and engineering teams. Very few have someone who holds both conversations fluently.
Enterprise Architect (Data & AI) at Capgemini Invent, Digital Architecture practice, current engagements include AI governance and security for UK Government
Acting Technical Director and Digital Business Architect at Automation Logic, led the consultancy from ~£6M to £13M revenue, 74% margins, through a £20M acquisition
£2.5M in closed sales at 100% conversion rate in one quaerter
14+ years in enterprise architecture across defence, financial services, telecommunications, and UK government
Board advisor for two AI companies - A2A Net, an agentic AI marketplace; Kora Intelligence, a marketing AI agent platform
Creator of AIMux, an open-source agentic AI service mesh for multi-agent observability, routing, and governance
MSc Artificial Intelligence, University of Bath (in progress, expected April 2027)
A local-first thinking system - markdown notes, wikilink navigation, and a calm editorial UI that evolves from linked notes into a durable knowledge graph.
Multi-model deliberation platform that routes hard questions through an AI council, then exposes how the final answer was formed.
Open-source agentic AI service mesh - infrastructure for observability, routing, and governance in multi-agent systems.
Why your AI prototype and your production system aren't on the same trajectory.
Governance should reduce uncertainty and increase deployment speed, not block progress. Here's how to make that real.
Enterprise AI strategy fails when governance, architecture, and delivery are designed as separate programmes.
I work with a small number of leadership teams where ambition outpaces infrastructure. If that sounds familiar, I'd welcome a conversation.
Get in touch