Evidence standard. This case study describes engineering work and platform capabilities that were actually implemented. Customer identities and internal system names are intentionally omitted.
The problem
Giving an AI model code access is easy. Making AI-assisted engineering compatible with enterprise change control is the harder problem.
Engineering response
- Separated investigation and planning from execution.
- Constrained change scope and excluded unsafe targets.
- Used isolated branches instead of protected branches.
- Ran validation with controlled retry.
- Created a merge request only after validation succeeded.
- Stopped before merge so review and approval remained authoritative.
BoundedExplicit repository and file scope.
ValidatedChecks before review creation.
GovernedNo uncontrolled auto-merge.
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