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Topic collection
Enterprise AI implementation
An evidence-led implementation framework covering operating ownership, data, architecture, governance, adoption and production measurement.
Executive answer
Move an enterprise AI use case into production only after quality, permissions, integration and failure handling have been tested against explicit acceptance criteria. Assign owners for adoption, monitoring, incident response and rollback before launch.
- Confirm representative evaluation results and permitted data access
- Test integration, human escalation and safe failure modes
- Assign production ownership, monitoring, support and rollback criteria