Measuring AI Adoption Impact and Value CAIPM Practice Questions (Page 2)

Questions 6–10

1. 6expert · hard

   A global bank deployed an AI anti-money-laundering (AML) screening system. The program manager must track adoption and value across 12 country branches. Each branch has different regulatory reporting requirements and varying levels of analyst expertise. The system reduced false positives by 35% globally, but some branches show declining usage. Which tracking and reporting approach best balances global consistency with local needs?

   • AUse a single global adoption metric (e.g., percentage of analysts using the system) to ensure comparability across all branches
   • BAllow each branch to define its own adoption metrics, since local teams know their operations best
   • CImplement a global dashboard with standardized adoption and value metrics, supplemented by local branch-level annotations explaining regulatory or operational variations
   • DTrack only the global false-positive reduction rate, since it is the most important outcome of the AML system
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2. 7foundation · easy

   Which tool is commonly used to track AI adoption progress across an organization over time?

   • AEmail client
   • BWord processor
   • CAnalytics dashboard
   • DSource code repository
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4. 8foundation · easy

   Which metric is most directly used to evaluate the financial return generated by an AI initiative relative to its total investment?

   • AAdoption rate
   • BModel accuracy
   • CCustomer satisfaction score
   • DReturn on Investment (ROI)
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5. 9expert · hard

   A logistics firm's AI demand-forecasting system has delivered consistent value for three years. However, the program manager is concerned about long-term sustainability because the data science team is overstretched, and the model's accuracy has started to decline on new product categories. The company cannot easily hire additional data scientists. Which strategy best sustains the AI transformation?

   • AFreeze the model in its current state to avoid introducing errors, and focus on documenting the historical value delivered
   • BOutsource all model maintenance to an external vendor, since the internal team is overstretched
   • CReduce the model's scope to only the product categories where it performs well, avoiding the new categories
   • DImplement automated model monitoring and retraining pipelines, and cross-train business analysts to handle routine model updates and validation
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A software company launched an AI code-review assistant. The VP of Engineering wants to see the impact on developer productivity. The program manager has data on: (1) number of code reviews completed per week, (2) average review cycle time, (3) developer satisfaction survey scores, and (4) AI tool subscription cost. Which combination of metrics best demonstrates productivity value to the VP?

   • AReview cycle time and number of reviews completed per week.
   • BAI subscription cost and review cycle time.
   • CDeveloper satisfaction scores and AI subscription cost.
   • DNumber of reviews completed and developer satisfaction scores.
   Reveal Solution Discussion Select an answer first