Assess AI Readiness Across Key Dimensions CAIPM Practice Questions (Page 3)

Questions 11–15

1. 11expert · hard

   A law firm wants to use AI to review contracts. The lawyers are highly skilled but have no AI experience, and they are concerned about liability for missed clauses. The firm has a strong IT department and a well-documented contract review process. The budget is sufficient for either extensive AI training or a change management program, but not both. What should the program manager prioritize?

   • ADeploy the AI and let the lawyers learn by using it
   • BInvest in a change management program to build trust and address liability concerns
   • CHire AI specialists to operate the system
   • DInvest in extensive AI training for the lawyers
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   Which of the following is a key indicator of cultural readiness for AI adoption?

   • AThe organization has high revenue
   • BThe organization has a large IT department
   • CEmployees are generally open to using AI tools and changing their workflows
   • DThe organization uses cloud services
   Reveal Solution Discussion Select an answer first
4. 13expert · hard

   A hospital network completed an AI readiness assessment for a patient triage system. The assessment found: excellent data quality, modern technology, but nurses are overworked and have low trust in AI. The hospital has a limited budget for change management. What is the most critical gap to address first?

   • ATechnology infrastructure, because the AI system needs to be integrated with existing systems.
   • BData quality, because it is the foundation of any AI system.
   • CWorkforce trust and adoption, because without nurse buy-in the system will fail.
   • DProcess integration, because the triage process needs to be redesigned.
   Reveal Solution Discussion Select an answer first
5. 14expert · hard

   A multinational bank wants to deploy an AI model for cross-border transaction monitoring. The bank operates in multiple regions with conflicting data residency laws. The data science team wants to centralize all data in a single cloud region for model training. The compliance team insists on data remaining in each region. What should the AI program manager recommend?

   • AUse a federated learning approach where models are trained locally in each region and only model updates are shared.
   • BCentralize all data in the cloud region with the most permissive laws.
   • CAbandon the project because data residency laws make AI impossible.
   • DStore all data on-premises in the bank's headquarters and train the model there.
   Reveal Solution Discussion Select an answer first
6. 15foundation · easy

   When evaluating technology infrastructure for AI readiness, what should an organization primarily assess?

   • AThe organization's brand recognition in the market
   • BThe organization's annual revenue growth
   • CThe number of employees who have AI-related certifications
   • DThe adequacy of its existing hardware, software, and platforms to support AI workloads
   Reveal Solution Discussion Select an answer first