My experience spans strategy, delivery, operations, analytics and governance.

AI leadership and hands-on delivery
I lead AI, automation and data work from strategy through delivery.
I stay close to the work itself: understanding the problem, getting the data in order, building a solution around the customer's goals and making sure people can run it.
I use my home lab to build and test local AI, agents and workflow automation.
Articles and project notes on what I am building, testing and learning.
Current focus
Making AI useful in day-to-day work.
The point is not to decorate a process with AI or automate one step in isolation. I look at the work end to end—the people, decisions, data and constraints—then decide where AI or automation will actually help. Whatever we build needs a clear owner and has to work in practice.
Enterprise AI strategy and delivery
Helping organisations move from early trials to services with clear ownership, sensible governance and results that can be measured.
Agentic systems and workflow automation
Building agents and automated workflows for work that is repetitive, fragmented or difficult to coordinate.
Data and portfolio insight
Bringing finance, delivery and operational data together so leaders can see what is happening and decide what to do next.
Projects
What I’m building and testing.
A selection of current projects from my home lab.
ProtectedToken Gen
Protected local model serving, monitoring, chat, and search tooling.
CurrentFrontier CMS
Tenant-aware content operations and publication workflow tooling.
LabFlow Studio
Workflow authoring and orchestration experiments.
Writing
Articles on AI, architecture and delivery.
Notes from building agentic systems, automation and the platforms around them.
Turn Contracts into an Askable Knowledge Base with Gemini Gems and NotebookLM
A practical guide to turning contract documents into an askable knowledge base with Gemini Gems and NotebookLM.
From Business Requirement to Working Code
A practical requirements flow for giving AI coding agents the business context, rules, scope, and acceptance criteria needed to produce reliable code.
Architecture Is the New Core Skill for the Agentic Era
Why trust, testability, boundaries, telemetry, and recovery paths matter more as AI-assisted systems become easier to generate and harder to understand.
The Age of Agentic Platforms Has Started
A platform-shift piece on managed agent runtimes, durable sessions, orchestration harnesses, sandboxes, and the infrastructure that makes agents useful beyond demos.