Conduct AI Readiness Assessments CAIPM Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A retail company's AI readiness assessment reveals two major gaps: (1) customer data is stored in siloed systems with inconsistent formats, and (2) employees lack awareness of AI ethics policies. The program manager has a limited budget and must choose which gap to address first. Which action should be prioritized?

   • AHire a chief AI officer to oversee both gaps simultaneously.
   • BLaunch a company-wide AI ethics training program immediately.
   • CDefer both gaps until after the AI system is deployed and then fix them based on real-world issues.
   • DInitiate a data integration and standardization project to create a single source of truth.
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   What is the primary goal of documenting AI readiness assessment findings?

   • ATo store raw data for future research without any analysis
   • BTo provide stakeholders with a clear, actionable report that supports decision-making
   • CTo create a marketing brochure for external audiences
   • DTo satisfy legal requirements for AI project approval
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   An insurance company is assessing readiness for AI-based claims processing. The program manager needs to understand both the quantitative state of data quality and the qualitative concerns of claims adjusters about AI. Which combination of methods is most appropriate?

   • AA single survey sent only to IT staff.
   • BA focus group with customers about their claims experience.
   • CA review of the company's annual report and marketing materials.
   • DA data quality audit and structured interviews with claims adjusters.
   Reveal Solution Discussion Select an answer first
5. 9application · medium

   A manufacturing company completed an AI readiness assessment. The data shows: strong infrastructure and data quality, but low AI literacy among plant managers and a culture that punishes experimentation. The company wants to implement predictive maintenance within 12 months. What should the program manager do first?

   • AHire a team of data scientists to build the model independently of plant operations.
   • BLaunch a targeted training and change-management program for plant managers to build AI literacy and encourage experimentation.
   • CDelay the project until the culture changes naturally over time.
   • DImmediately purchase additional GPU servers to expand infrastructure capacity.
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A regional bank wants to assess its readiness for deploying an AI-based fraud detection system. The program manager has limited time and budget and needs a high-level snapshot of where the organization stands before committing to a detailed audit. Which approach best fits this need?

   • ADefer the assessment until after the AI system is built, then measure readiness through pilot results.
   • BFocus only on the availability of labeled historical transaction data, since data is the only critical dimension for fraud detection.
   • CRun a targeted survey of IT, data science, and compliance teams to gauge data quality, infrastructure capacity, skills, and governance awareness.
   • DConduct a full audit of all data pipelines, infrastructure, and governance policies across every department.
   Reveal Solution Discussion Select an answer first