What this is
Most enterprises have run an AI pilot. Few have AI in production as a default way of building software. The work closes that gap: deploying AI into the real workflow with delivery teams, from architecture through to the day-to-day habits that keep it adopted.
How it works
It starts where delivery actually happens: the repos, the review process, the ticket flow. From there comes an architecture that fits, the guardrails and evaluation that make AI output trustworthy, and the practices that turn one-off wins into a default. The goal is a team that ships faster long after, not just during the work.
Typical outcomes
The work has demonstrated 2-3x productivity gains in real delivery across financial services and beyond. The durable win is cultural: teams that own the practice, not a tool they were handed.
See also enablement & training and the writing on why pilots stall.