AI Strategy and Adoption Roadmap Design CAIPM Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   A telecom company has successfully piloted an AI-based churn prediction model in one region. The pilot achieved a 15% reduction in customer churn. The program manager now wants to scale the solution to all regions. What is the most effective scaling strategy?

   • ADeploy to all regions but only after a six-month delay to ensure the model is fully optimized.
   • BRoll out to one additional region at a time, refining the model and integration based on lessons learned from each deployment.
   • CDeploy to all regions simultaneously to capture the full benefit as quickly as possible.
   • DScale to the regions with the highest churn rates first, but do not adjust the model for regional differences.
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2. 27application · medium

   A mid-sized insurance company wants to develop an AI strategy. The CEO wants to reduce claims processing time, the CFO wants to cut operational costs, and the CTO wants to modernize the IT infrastructure. The company has no prior AI experience and limited data quality. What is the first step in formulating the AI strategy?

   • ADefine a clear AI vision and specific, measurable goals that align with the CEO, CFO, and CTO objectives.
   • BSelect a specific AI use case, such as claims automation, and begin implementation immediately.
   • CHire a team of data scientists before defining the strategy, to ensure the company has the necessary skills.
   • DInvest in modernizing the IT infrastructure first, because it is a prerequisite for any AI initiative.
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4. 28foundation · easy

   What is the primary purpose of piloting an AI solution before full-scale implementation?

   • ATo bypass all governance requirements
   • BTo test the solution in a controlled environment and gather learnings
   • CTo guarantee successful scaling
   • DTo immediately replace existing systems
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5. 29application · medium

   A retail chain's CEO wants to use AI to 'modernize the company.' The board asks for a clear AI strategy. The company has strong sales data but no clear problem statement. The CIO proposes several AI projects, including demand forecasting and customer churn prediction. What is the most important first step in defining the AI strategy?

   • APurchase a general-purpose AI platform to build internal capability
   • BDefine specific business goals that AI should support, such as reducing stockouts by 15%
   • CBenchmark AI adoption against competitors
   • DSelect the AI projects with the lowest implementation cost
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6. 30application · medium

   A government agency wants to adopt AI for citizen-service automation. The agency has clean, well-structured data and modern infrastructure. However, employee surveys show low trust in AI and fear of job loss. The agency's leadership is committed to the initiative. What is the most significant barrier to AI adoption readiness?

   • AData quality, because clean data is essential for model training
   • BInfrastructure capacity, because AI requires specialized hardware
   • CLeadership commitment, because executives may not support the project
   • DOrganizational culture, because employee trust and acceptance are low
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