AI Strategy Frameworks CAIPM Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A regional bank with a centralized IT team and a compliance-heavy culture wants to adopt AI for fraud detection and customer service automation. The board requires a framework that emphasizes governance, risk management, and alignment with regulatory expectations from the start. Which framework should the AI program manager select?

   • AThe McKinsey AI Adoption Framework
   • BThe CRISP-DM data mining framework
   • CThe Gartner AI Maturity Model
   • DThe AI Governance Framework (e.g., COBIT-style AI extension)
   Reveal Solution Discussion Select an answer first
2. 7expert · hard

   A financial services firm applies an AI strategy framework that includes a risk-assessment gate. A use case for automated loan approvals passes the strategic alignment and data-availability gates but fails the risk gate due to potential bias and regulatory scrutiny. The business sponsor pressures the program manager to proceed because competitors are deploying similar systems. What should the program manager do?

   • AProceed with a limited pilot while keeping the risk assessment incomplete.
   • BOverride the risk gate and proceed to maintain competitive parity.
   • CAbandon the use case permanently because it failed the risk gate.
   • DPlace the use case on hold and initiate a bias-mitigation and compliance-review workstream.
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   A manufacturing firm applies an AI strategy framework to identify use cases. After listing potential use cases, what should the framework guide the firm to do next?

   • AImmediately develop all listed use cases in parallel
   • BPrioritize the use cases based on business value and feasibility
   • CDiscard all use cases that require new data collection
   • DOutsource all use cases to external vendors
   Reveal Solution Discussion Select an answer first
5. 9expert · hard

   A hospital is applying the AI Strategy Framework to identify use cases. The framework includes a 'clinical safety' component. The hospital has limited data science resources and must prioritize between two use cases: one that reduces administrative workload and one that assists in diagnosis. Which approach best applies the clinical safety component?

   • APrioritize the diagnostic use case but subject it to rigorous clinical validation and risk assessment
   • BDeploy the diagnostic use case immediately because it has higher potential impact
   • CReject the diagnostic use case because it is too risky
   • DPrioritize the administrative use case because it is safer
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6. 10application · medium

   A media company with a highly innovative culture and low process maturity wants to adopt an AI strategy framework. The company values rapid experimentation and has a flat organizational structure. Which framework characteristic is most suitable?

   • AA framework that requires a formal AI center of excellence before any project can start.
   • BA framework with heavy documentation requirements and multiple approval layers.
   • CA framework that centralizes all AI decisions with the executive team.
   • DA framework that emphasizes iterative experimentation, lightweight governance, and rapid feedback loops.
   Reveal Solution Discussion Select an answer first