Assess AI Readiness Across Key Dimensions CAIPM Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   In an organizational context, what does 'AI readiness' primarily refer to?

   • AThe number of AI projects currently in production within the organization
   • BThe level of maturity of the organization's existing machine learning models
   • CThe degree to which an organization's infrastructure, data, people, and processes are prepared to adopt and effectively use AI
   • DThe total budget allocated for AI-related initiatives in the upcoming fiscal year
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A government agency wants to use AI to automate public records requests. The agency's strategic goal is to increase transparency, but the proposed AI system would automatically redact sensitive information, potentially reducing public access. The agency has the data and technology, but the staff is concerned about accountability. What is the most important readiness issue to resolve?

   • AInsufficient data storage capacity
   • BLack of staff training on AI tools
   • CNeed for a different AI vendor
   • DStrategic alignment between AI capabilities and the agency's transparency goal
   Reveal Solution Discussion Select an answer first
4. 3expert · hard

   A consumer goods company wants to use AI to optimize its supply chain. The company's strategic goal is to become the lowest-cost producer in its market. The data science team proposes a sophisticated AI model that requires real-time data from all suppliers, but some suppliers are reluctant to share data due to competitive concerns. What should the AI program manager do?

   • AForce suppliers to share data by including it in the contract.
   • BProceed with the model using only the data that is available.
   • CRe-evaluate the AI opportunity to see if a less data-intensive approach can still achieve cost reduction.
   • DAbandon the AI project because supplier data is essential.
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   Which of the following is an example of a process readiness question?

   • ADo we have enough GPUs for training?
   • BIs our data stored in a data lake?
   • CCan our current workflows be redesigned to include AI-based decision support?
   • DAre our employees trained in Python?
   Reveal Solution Discussion Select an answer first
6. 5expert · hard

   A hospital wants to use AI to prioritize patient triage in the emergency department. The current triage process is fast but relies on the nurse's intuition. The hospital's strategic goal is to improve patient outcomes, but the nursing staff is worried that AI will override their clinical judgment. The data and technology are ready, but the triage workflow is not fully documented. What is the best approach to ensure process and people readiness?

   • AInvolve nurses in documenting the triage workflow and defining the AI's role as a decision support tool
   • BDelay the project until the hospital can hire more nurses
   • CReplace the triage process with a fully automated AI system
   • DDeploy the AI immediately to speed up triage and collect data on its performance
   Reveal Solution Discussion Select an answer first