Problems I Solve

Most delivery problems are not caused by a lack of effort or capability. They arise when systems of work no longer scale with the organisation’s ambition. I work with engineering leaders when DevOps stalls, growth slows execution, or AI initiatives fail to move beyond experimentation. The problems below are where these constraints most commonly surface.

Delivery Risk Embedded in the Operating Model
DevOps

Delivery risk increases when the system of work cannot reliably turn intent into outcomes. Slow flow, delayed decisions, and operating model constraints undermine the benefits organisations expect from DevOps.

AI Is Creating Risk Instead of Reliable Capability
AI Enablement

AI initiatives stall and create risk when organisations lack clarity, ownership, and decision discipline. As AI scales, ambiguity undermines trust, increases delivery risk, and prevents experiments from becoming reliable capability.

Scaling Has Increased Risk and Slowed Us Down
Scaling

Growth increases coordination cost, decision latency, and delivery risk. As organisations scale, their operating model often slows learning, weakens decision-making, and reduces leverage instead of increasing it.