AI Delivery Process

AI Delivery Process is for engineering organizations whose way of building predates the AI era. The tools have changed faster than most delivery processes, and the result is usually a handful of enthusiasts using agents well, everyone else using them badly or not at all, and no shared standard for what good looks like. We install a working default — not a framework deck.

The Delivery Audit is two weeks at a fixed fee. We look at how work actually flows through your team: how requirements become stories, how code gets written and reviewed, where quality is enforced and where it is hoped for. You get a clear picture of where delivery bends and a concrete install plan to fix it.

Process Installation is the six-to-ten-week build-out of that plan, inside your existing workflow rather than beside it: agent tooling configured for your codebase and conventions, evaluations running in CI, specification-driven development so agents build the right thing, and the guardrails that make the whole thing provable to a skeptical engineering manager. We install rituals alongside the tooling, and the metrics that tell you whether the new default is holding.

The Enablement Retainer keeps the practice improving after the install: monthly time to tune the tooling as models change, onboard new engineers to the way of working, and adjust the process as the team learns what works.