Govern the outcome
AI does not change accountability
The team and organization remain responsible for generated code, data use, security, licensing, testing, operations, and architectural alignment.
Required controls
Place AI inside the existing delivery lifecycle
- Approved tools and data-classification rules
- No secrets or restricted data in unapproved models
- Architecture decision and interface conformance
- Human code review and security testing
- Dependency and licence review
- Traceable prompts and generated artifacts where required
- Production observability and rollback
Enterprise boundary
AI-created applications consume the same governed shared services
Authentication, application trust, notifications, payments, integration, and support remain platform responsibilities regardless of how application code was produced.