Enterprise AI deployment

Take AI from isolated pilots to production ways of working, with the architecture, guardrails, and delivery practices that make it stick.

What this is

Most enterprises have run an AI pilot. Few have AI in production as a default way of building software. This engagement closes that gap: I work with your delivery teams to deploy AI into the real workflow, from architecture through to the day-to-day habits that keep it adopted.

How it works

We start where your delivery actually happens: the repos, the review process, the ticket flow. From there we design an architecture that fits, add the guardrails and evaluation that make AI output trustworthy, and embed the practices that turn one-off wins into a default. The goal is a team that ships faster long after the engagement, not just during it.

Typical outcomes

Engagements have demonstrated 2-3x productivity gains in real delivery work 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.

Let's connect.

Always happy to talk AI delivery, swap notes on what's worked, and hear what you're building.

Get in touch