COMPEL Glossary / adaptive-management
Adaptive Management
Adaptive management is a structured, iterative approach to decision-making that explicitly acknowledges uncertainty and adjusts plans based on new information, monitoring results, and changing conditions rather than rigidly following an original blueprint.
What this means in practice
In AI transformation, where technology evolves rapidly and organizational dynamics are unpredictable, adaptive management prevents the common failure of pursuing outdated plans long after circumstances have changed. For example, if a planned AI deployment encounters unexpected regulatory requirements or a new technology emerges that changes the cost-benefit equation, adaptive management provides the decision framework for adjusting course. Within COMPEL, adaptive management is central to roadmap governance (Module 2.3, Article 9) and distinguishes a living transformation roadmap from a static project plan.
Why it matters
AI transformation operates in a rapidly evolving landscape where technology, regulations, and organizational dynamics change unpredictably. Organizations that rigidly follow outdated plans waste resources on initiatives that no longer make strategic sense. Adaptive management provides the structured decision framework for adjusting course without losing strategic coherence, turning uncertainty from a threat into a manageable variable.
How COMPEL uses it
Adaptive management is central to roadmap governance in the Model stage, distinguishing a living transformation roadmap from a static project plan. During Produce, adaptive management enables course corrections when circumstances change. The Evaluate stage provides the evidence base for adaptation decisions, and the Learn stage captures insights about what triggered adjustments and how they affected outcomes across COMPEL cycles.
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Related Terms
Other glossary terms mentioned in this entry's definition and context.