AI coding rollout checklist for engineering teams

Phase 1 · Target

Bound the pilot clearly

Before the first use, define the problem you want to solve and what would make the pilot worthwhile.

Output of this phase

A one-page pilot brief covering scope, owner, duration, and success criteria.

Mark the points your team has already resolved and documented.

Select two or three recurring, reviewable tasks – such as adding tests, preparing refactors, or analysing pull requests. Explicitly limit the repositories, teams, and duration included in the pilot. Name one owner for approvals, feedback, and the final decision. Define measurable criteria in advance: quality, cycle time, cost, and team adoption.

Phase 2 · Governance

Approve data and access paths

Map which code is processed, where requests go, and which rules apply to the concrete workflow.

Output of this phase

An approved data-flow and permission matrix for the pilot.

Mark the points your team has already resolved and documented.

Document allowed and excluded repositories, file types, data classes, and secrets. Document the selected model and provider route and its disclosed processing region; Zero Data Retention and no training apply by default. Grant permissions using least privilege and separate administrative roles. Align the DPA, internal policies, security requirements, and technical configuration to the same use case.

Phase 3 · Operation

Make pilot quality measurable

Run AI-generated code through the same controls and measure outcomes rather than usage alone.

Output of this phase

A pilot dashboard with a baseline, quality results, costs, and documented incidents.

Mark the points your team has already resolved and documented.

Keep existing tests, reviews, branch rules, and deployment gates mandatory. Capture a non-AI baseline for cycle time, rework, defect rate, and review effort. Document costs, failed tasks, manual corrections, and security-relevant observations during the pilot. Collect structured weekly feedback from developers and reviewers.

Phase 4 · Decision

Approve the rollout deliberately

Avoid a decision based on impressions. Compare results with the baseline and record boundaries and future controls.

Output of this phase

A documented decision: stop, improve specific gaps, or expand under control.

Mark the points your team has already resolved and documented.

Evaluate pilot results against the predefined success criteria and baseline. Record benefits, limitations, open risks, and required mitigations in writing. Explicitly approve each additional team, repository, and budget before expansion. Set a date to review data paths, permissions, costs, and quality again.

Move from an AI coding pilot to a reliable rollout

Bound the pilot clearly