Fallback Planning

Fallback planning is the practice of defining, in advance, what an organization will do when an AI system fails, produces unreliable output, or becomes unavailable. For governance and compliance teams, it means documenting manual or alternative processes, assigning clear owners, and testing those backups before they are needed. Regulators and auditors increasingly look for this kind of continuity planning when AI supports high-stakes decisions in areas such as lending, hiring, or healthcare.

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