The scenario clearly describes superficial or performative usage of AI , where the tool is used only to meet compliance requirements rather than to drive real work outcomes. The AI output is not integrated into the employee’s workflow, decision-making, or execution process, which indicates a lack of meaningful adoption.

In CAIPM, weak adoption signals are characterized by:

Usage that is detached from actual business processes

AI being used as a check-the-box activity rather than a productivity tool

Minimal or no impact on decision-making, efficiency, or outcomes

Users reverting to traditional methods despite having access to AI

This contrasts with strong adoption signals, where AI is embedded into daily workflows and directly contributes to improved performance and outcomes.

The other options are less appropriate:

Leading indicators refer to early predictive signals of adoption trends, not behavioral misuse

Lagging indicators measure outcomes after adoption has occurred

Strong adoption signals would involve active, integrated use of AI in real tasks

CAIPM emphasizes that true adoption is demonstrated when AI becomes part of how work is actually performed, not when it is used in parallel or after the fact.

Therefore, the correct answer is Weak adoption signals , as the behavior reflects compliance-driven usage without real operational integration.

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