CAIC AI Strategy & Implementation 2 — Questions and Answers
Question 1: When building an AI implementation roadmap, which factor is most critical to assess FIRST?
- Selecting the AI vendor
- Evaluating data readiness and quality (Correct answer)
- Hiring data scientists
- Choosing the cloud provider
Correct answer: Evaluating data readiness and quality
Data readiness and quality must be evaluated first because AI models are only as good as the data they are trained on.
Question 2: A company wants to implement AI but faces resistance from employees who fear job loss. The BEST strategic response is to:
- Proceed without informing employees
- Frame AI as an augmentation tool and invest in reskilling programs (Correct answer)
- Delay all AI initiatives indefinitely
- Replace concerned employees immediately
Correct answer: Frame AI as an augmentation tool and invest in reskilling programs
Positioning AI as augmentation rather than replacement, paired with reskilling, reduces resistance and builds a more AI-capable workforce.
Question 3: Which metric best measures the business impact of an AI-powered customer service chatbot?
- Number of chatbot training iterations
- Reduction in average handling time and cost per resolved ticket (Correct answer)
- Size of the language model used
- Number of intents configured
Correct answer: Reduction in average handling time and cost per resolved ticket
Business impact is measured by operational outcomes such as reduced handling time and cost savings, not technical implementation details.
Question 4: An organization's AI strategy should align with its overall business strategy primarily to:
- Ensure the IT department controls all AI decisions
- Maximize the number of AI projects deployed
- Ensure AI investments generate measurable business outcomes (Correct answer)
- Meet regulatory requirements automatically
Correct answer: Ensure AI investments generate measurable business outcomes
AI initiatives must be tied to business outcomes to justify investment and ensure they solve real organizational problems.
Question 5: A 'proof of concept' (PoC) in AI implementation is best described as:
- A full production deployment
- A small-scale experiment to validate technical feasibility and business value before full investment (Correct answer)
- A legal document proving AI ownership
- A vendor demonstration of their platform
Correct answer: A small-scale experiment to validate technical feasibility and business value before full investment
A PoC tests whether an AI solution can work at small scale before committing to full-scale implementation resources.
Question 6: Which of the following is an example of a 'build vs. buy' decision in AI strategy?
- Choosing between Python and R for data analysis
- Deciding whether to develop a custom recommendation engine or license a third-party solution (Correct answer)
- Selecting between two cloud storage tiers
- Hiring a consultant vs. a full-time employee
Correct answer: Deciding whether to develop a custom recommendation engine or license a third-party solution
The build vs. buy decision involves weighing the cost and customization of in-house AI development against the speed and ease of purchasing an existing solution.
Question 7: What is the primary purpose of an AI Center of Excellence (CoE) within an organization?
- To restrict AI usage to a single business unit
- To centralize AI expertise, standards, and governance while enabling scaling across the enterprise (Correct answer)
- To replace the IT department
- To manage cloud infrastructure costs
Correct answer: To centralize AI expertise, standards, and governance while enabling scaling across the enterprise
An AI CoE consolidates expertise and best practices to accelerate adoption and ensure consistent, responsible AI deployment across the organization.
CAIC AI Strategy & Implementation 2
When building an AI implementation roadmap, which factor is most critical to assess FIRST?