AI Strategy and Adoption Roadmap Design CAIPM Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   What is the first step in the AI adoption roadmap development process?

   • ASelect AI technologies
   • BConduct an initial assessment
   • CAllocate budget
   • DDefine implementation phases
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A healthcare provider is introducing an AI system that triages patient messages. Nurses are worried the system will increase their workload and make errors. The IT team has already built the model and wants to deploy it next month. The chief medical officer supports the project. What is the most effective change-management step to take before deployment?

   • AProvide a one-time training session on how to use the interface
   • BSend a company-wide email from the chief medical officer explaining the benefits of the system
   • CDeploy the system immediately and address concerns after measurable results are available
   • DHold a series of co-design workshops where nurses test the system and provide feedback on workflow integration
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   An e-commerce company has deployed an AI recommendation system. Six months after launch, the click-through rate has plateaued, and customer feedback indicates that recommendations are becoming repetitive. The program manager needs to ensure the roadmap remains effective. What is the most appropriate action?

   • AImmediately retrain the model with more data, without reviewing the underlying causes of the plateau.
   • BReplace the recommendation algorithm with a completely different approach, based on the feedback.
   • CLeave the system unchanged because the initial deployment was successful and the plateau is expected.
   • DEstablish a quarterly review process that analyzes KPI trends, gathers stakeholder feedback, and prioritizes model retraining or feature updates.
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5. 4application · medium

   A logistics company has successfully piloted an AI route-optimization system in one region. The pilot reduced fuel costs by 12%. The company has 12 regions with different road conditions and traffic patterns. The CIO wants to scale the system nationally within a year. What is the most appropriate scaling strategy?

   • ARetrain the model only once at the end of the year using data from all regions
   • BCancel the pilot and start a new pilot in a different region
   • CRoll out to two or three similar regions first, then expand to others after validating performance
   • DDeploy the same model to all 12 regions simultaneously to achieve rapid national coverage
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   A logistics company has deployed an AI system to optimize delivery routes. The initial pilot shows a 5% reduction in fuel costs, but the operations team is concerned about increased delivery times. The program manager needs to define KPIs for the full deployment. Which KPI set best captures the success of the AI system?

   • AFuel cost reduction, average delivery time, and customer satisfaction score.
   • BCustomer satisfaction score and fuel cost reduction, but not delivery time.
   • CFuel cost reduction only, because it is the primary objective of the AI system.
   • DAverage delivery time and driver overtime hours, but not fuel cost.
   Reveal Solution Discussion Select an answer first