What this is
Most megacorps have run an AI pilot. Almost none have AI in production as the default way they build software. This work closes that gap: jacking AI into the real workflow with the delivery crew, from architecture down to the day-to-day habits that keep it adopted.
How it works
It starts where the work actually happens: the repos, the review process, the ticket flow. From there comes an architecture that fits, the guardrails and evals that make AI output something you can trust, and the practices that turn one-off wins into the default. The goal is a crew that ships faster long after, not just while I’m in the room.
What you walk away with
This work has clocked 2-3x productivity gains in real delivery across financial services and beyond. The win that lasts is cultural: a crew that owns the practice, not a tool somebody handed them.
See also enablement & training and the writing on why pilots flatline.