AI & Automation
Applying agents and language models to real delivery, with governance that survives review.
Enterprise technology, engineering, and AI-assisted delivery
Twenty-five years building for the web, a decade of technical program management inside Fortune 50 banks and investment firms, and a working practice rebuilt around AI agents.
What I do
They overlap more than the headings suggest. Most real problems sit across two or three of them.
Applying agents and language models to real delivery, with governance that survives review.
Building and maintaining applications across the stack, in the languages a business already runs.
The infrastructure underneath, and the process that gets work approved and shipped.
Enterprise, specifically
Technical program and project management inside large regulated organisations, including Fortune 50 banks and investment firms. That means writing the intake request, sitting through the architecture review, and reporting the delay to a steering committee.
Work structured for the review it has to clear, rather than retrofitted once it fails one.
The technical voice in rooms where most people are not technical, on either side of a contract.
Which tools run, what data each one sees, and what never leaves the estate - written down, not assumed.
I read the diff. Managers who stop reading code stop being able to tell when an estimate is fiction.
Competencies
Twenty-five years of accumulation, with the parts I no longer use left off.