About

AI-SDLC architecture for engineering leaders who need evidence, not AI theatre.

I run fixed-scope AI Delivery System Audits for organisations that already use AI coding tools and need to know whether delivery is actually improving.

Principal-led diagnosis of AI-assisted software delivery.

I operate through a UK-registered company and work async-first with CTOs, VPs of Engineering, Heads of AI Transformation, and software engineering leaders.

The work is specific: AI-to-production cycle time, PR review load, governance posture, delivery risk, usage quality, and spend attribution. It is not a generic AI strategy workshop, prompt-training engagement, or managed delivery retainer.

My background is enterprise software delivery and AI adoption at scale. I use that lens to help leadership decide what to scale, what to fix, and what to stop before renewal, expansion, board reporting, or governance review.

AI-SDLC Delivery-system diagnosis, governance, and measurement.
Async-first Designed to work from existing delivery and review artefacts.
Principal-led No account managers, no junior handoff, no retainer pressure.