Start with shadow evaluation or another controlled mode that fits the workflow, then expand eligible traffic only when the agreed evidence supports it. The exact release design depends on whether outputs are drafts, records or irreversible actions.
- □ Named service owner, incident escalation and support coverage.
- □ Representative load tests, rate limits and capacity headroom.
- □ Tenant boundaries, access controls and authorised tool actions.
- □ Fallback, abstention and human-review paths that work under load.
- □ Rollback procedure exercised with the previous configuration available.
- □ Monitoring of quality, latency, review, accepted-task cost and drift.
- □ Change approval and re-evaluation triggers for data, model or policy updates.
NIST’s voluntary AI Risk Management Framework is useful context for maintaining responsibilities and monitoring over the lifecycle. It is not a certification of this deployment.
Finish with a decision memo: proceed, proceed with conditions, investigate a defined uncertainty, or stop. Record the evidence, owner and reconsideration trigger. No meeting booking, supplier introduction, data transfer or site publication has been performed by producing this research.