COMPEL Glossary / operational-resilience
Operational Resilience
Operational resilience is the ability of an organization to prevent, prepare for, respond to, recover from, and learn from operational disruptions to its AI systems and AI-dependent business processes.
What this means in practice
It encompasses technical resilience (redundancy, failover, graceful degradation), process resilience (runbooks, escalation protocols, backup procedures), organizational resilience (trained incident response teams, crisis communication), and adaptive resilience (post-incident improvement, continuous testing). For organizations increasingly dependent on AI for critical operations, operational resilience ensures that AI system failures, which are inevitable in complex systems, do not cascade into business-critical outages. In COMPEL, operational resilience is specifically addressed in Module 2.4, Article 12, with dedicated coverage of agentic AI failure modes and recovery patterns.
Why it matters
As organizations become increasingly dependent on AI for critical operations, the ability to withstand and recover from disruptions becomes essential. AI system failures are inevitable in complex environments, and without resilience planning, these failures cascade into business-critical outages. Building resilience across technical, process, organizational, and adaptive dimensions protects both operations and stakeholder trust.
How COMPEL uses it
COMPEL addresses operational resilience specifically in Module 2.4, Article 12, covering agentic AI failure modes and recovery patterns. During the Model stage, resilience requirements are designed into the governance architecture under the Process pillar. The Evaluate stage tests resilience through scenario exercises, and the Learn stage captures incident lessons to strengthen future resilience posture.
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Related Terms
Other glossary terms mentioned in this entry's definition and context.