COMPEL Glossary / crisis-management
Crisis Management
Crisis management is the organized process of preparing for, responding to, recovering from, and learning from unexpected events that threaten an organization's AI transformation program, operations, reputation, or stakeholder relationships.
What this means in practice
AI-specific crises include public algorithmic bias incidents, major model failures affecting customers, data breaches exposing training data, executive sponsor departures mid-transformation, regulatory enforcement actions, and public controversies about AI ethics. For organizations, having a crisis management capability specific to AI is essential because AI crises often escalate rapidly through social media and regulatory attention. In COMPEL, crisis management is covered in Module 3.2, Article 9 on transformation crisis management at the AITGP level, addressing types of transformation crises, response frameworks, communication strategies, and recovery approaches.
Why it matters
AI-specific crises — public bias incidents, major model failures, data breaches exposing training data — can escalate rapidly through social media and regulatory attention. Organizations without AI crisis management capabilities are forced to improvise under pressure, producing inconsistent responses that often amplify damage. Pre-planned crisis response frameworks enable rapid, coordinated action that protects reputation, maintains stakeholder trust, and satisfies regulatory expectations.
How COMPEL uses it
Crisis management is addressed during the Model stage within the Process pillar, where AI-specific crisis types, response frameworks, and communication strategies are designed. The Calibrate stage assesses current crisis readiness. During Produce, crisis protocols are established and tested through tabletop exercises. The Evaluate stage reviews crisis response effectiveness for any incidents that occurred, and the Learn stage incorporates lessons into improved crisis preparedness.
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Related Terms
Other glossary terms mentioned in this entry's definition and context.