AI Use Case Identification and Value Prioritization CAIPM Practice Questions (Page 7)

Questions 31–35

1. 31foundation · easy

   What is the primary purpose of a phased roadmap for AI use case implementation?

   • ATo replace the need for a business case
   • BTo guarantee that all use cases are implemented simultaneously
   • CTo sequence implementation based on dependencies and value delivery
   • DTo list all possible AI use cases without prioritization
   Reveal Solution Discussion Select an answer first
2. 32foundation · easy

   Which approach is an example of a scoring model for prioritizing AI use cases?

   • AListing use cases in alphabetical order
   • BAssigning weighted scores to criteria such as ROI, feasibility, and risk, then summing the scores
   • CSelecting use cases based on the order they were suggested
   • DChoosing the use case that the CEO prefers
   Reveal Solution Discussion Select an answer first
4. 33application · medium

   A regional bank is evaluating three AI use cases: (1) an NLP chatbot for customer service, (2) a computer-vision system for fraud detection on check images, and (3) a predictive model for branch cash demand. The bank has abundant labeled transaction data and a small data-science team, but its check-image archive is poorly digitized and unstructured. The executive sponsor wants a quick win to build momentum. Which use case should the program manager prioritize first?

   • AAll three in parallel, because a portfolio approach maximizes learning and demonstrates broad AI capability.
   • BThe branch cash-demand model, because it uses readily available structured data and can be delivered with the current team size.
   • CThe computer-vision fraud system, because fraud losses are the largest cost driver and justify the data-cleanup effort.
   • DThe NLP chatbot, because customer-facing automation typically generates the highest ROI and stakeholder visibility.
   Reveal Solution Discussion Select an answer first
5. 34application · medium

   A government agency's program manager is tasked with identifying AI use cases. The agency has a high volume of citizen inquiries that are currently handled by a call center with long wait times. The agency also has a large archive of historical inquiry emails and resolutions. The IT department warns that the email archive is poorly tagged. The agency's leadership wants to improve citizen satisfaction. Which approach best identifies a viable AI use case?

   • AAsk the call center agents what they think the problem is, since they are the closest to the citizens.
   • BImmediately implement a chatbot on the agency website, since it is the most common AI solution for citizen services.
   • CAnalyze the inquiry-handling process and pain points, then evaluate an NLP-based email triage and response-suggestion system using the historical archive.
   • DFocus on the IT department's warning and abandon the idea, since poorly tagged data makes any AI use case infeasible.
   Reveal Solution Discussion Select an answer first
6. 35application · medium

   A manufacturing company has four AI use cases scored on a 1–5 scale for value and complexity: (A) predictive maintenance (value 5, complexity 4), (B) supply-chain demand forecasting (value 4, complexity 2), (C) visual quality inspection (value 4, complexity 5), and (D) HR resume screening (value 2, complexity 1). The company needs to show progress within two quarters and has limited data-science capacity. Using a value/complexity matrix, which use case should be placed in the 'quick wins' quadrant and scheduled first?

   • AHR resume screening
   • BPredictive maintenance
   • CSupply-chain demand forecasting
   • DVisual quality inspection
   Reveal Solution Discussion Select an answer first