01

Know the dependency

An outage at a model provider can interrupt a critical workflow. Institutions need to understand where AI sits in the process, how they will fail over or pause safely and who decides when service resumes.

02

Logs need to answer the real question

A status page can say when a service returned. It cannot show which model version produced a particular output, what control applied or whether a person approved it during an incident.

03

Recovery needs a defensible record

Independent, attributable evidence helps teams investigate exceptions and document changes before returning to normal operation. Resilience is both continuity of service and continuity of accountability.

Basis

EU AI Act Articles 12, 19 and 26 · AI-provider outage and business-continuity analyses