Avoid the wrong first pilot
Use the guide to avoid starting with the biggest system, the most sensitive repo, or a workflow with no owner or validation path.
How to pick the right first repo for AI adoption
A practical five-page guide for choosing a safer, smarter first AI pilot inside legacy engineering environments.
Avoid common first-pilot mistakes like starting with the biggest, messiest, or most politically sensitive system.
Score candidate repos by business value, technical complexity, documentation, test coverage, security sensitivity, ownership, stakeholder risk, and repeatability.
Compare three possible pilots and turn the winning repo into a focused 30-day AI workflow pilot plan.

Download the guide
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What it helps you decide
Use the guide to avoid starting with the biggest system, the most sensitive repo, or a workflow with no owner or validation path.
Compare repos across business value, complexity, documentation, tests, security sensitivity, ownership, stakeholder risk, and repeatability.
Move from repo choice to a focused 30-day plan with owners, boundaries, validation, and a recommendation to expand, revise, or stop.
Inside the guide
Scorecard criteria
Proof example
In an anonymized government engineering case study, one AI-assisted unit test became a repeatable testing workflow. The pattern helped avoid setup time, onboard another engineer quickly, and create a path for generating useful tests on command.
The best pilot selection is not just about choosing a repo. It is about finding the first workflow your team can repeat.
Read the testing workflow case studyWant help applying this with your team?
If the scorecard surfaces a few possible first pilots, we can help choose the strongest workflow and turn it into an 8-week implementation path.