AI Strategy and Adoption Roadmap Design CAIPM Practice Questions (Page 2)

Questions 6–10

1. 6expert · hard

   A bank is rolling out an AI fraud-detection system. The fraud team is skeptical because the system flags transactions they believe are legitimate. The bank's leadership wants to deploy the system to reduce losses. The fraud team has the authority to override the system. What is the most effective way to engage the fraud team?

   • AReplace the fraud team with the AI system to eliminate human bias
   • BInvolve the fraud team in a shadow-mode trial where the AI runs alongside their current process
   • CRemove the override capability to force the team to accept the system
   • DDeploy the system with override capability and let the team learn by using it
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2. 7expert · hard

   A pharmaceutical company has identified three AI use cases: (1) drug discovery acceleration, which has transformative potential but requires massive computational resources and has regulatory uncertainty; (2) clinical trial optimization, which has high value and moderate feasibility; and (3) administrative automation for regulatory filings, which has low value but is very feasible. The company has a limited budget and a risk-averse compliance culture. Which use case should be prioritized first?

   • ADrug discovery acceleration, because its transformative potential justifies the high investment and regulatory risk.
   • BAll three use cases in parallel, to maximize the potential of AI across the organization.
   • CAdministrative automation, because it is the most feasible and will build confidence in AI.
   • DClinical trial optimization, because it offers a strong balance of high business value and manageable feasibility within the risk-averse culture.
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4. 8foundation · easy

   In an AI adoption readiness assessment, which dimension examines whether the organization's employees are open to using AI and willing to adapt to new workflows?

   • ACultural readiness
   • BData readiness
   • CInfrastructure readiness
   • DSkills readiness
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5. 9application · medium

   A retail company is introducing an AI-based demand forecasting system. The sales team is skeptical because they fear the AI will replace their judgment. The IT department is concerned about integrating the new system with legacy ERP. The executive sponsor wants rapid deployment. What is the most effective change management strategy to address these concerns?

   • ADeploy the system quickly to demonstrate value, and address concerns only if they become obstacles.
   • BFocus exclusively on executive sponsorship and mandate adoption across the organization.
   • CEngage the sales team early by framing AI as a decision-support tool, and involve IT in integration planning from the start.
   • DProvide extensive training to the sales team on how to use the AI system, but limit IT involvement to the final integration phase.
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6. 10application · medium

   An e-commerce company has deployed an AI pricing model that adjusts prices in real time. A customer complaint reveals the model raised prices during a natural disaster, causing reputational damage. The company wants to prevent this from happening again. What is the most appropriate governance mechanism?

   • AAdd a human-approval step for all price changes above a certain threshold
   • BDisable the AI pricing model and use fixed prices
   • CRetrain the model monthly to improve its pricing decisions
   • DPublish a public apology and continue the current model
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