Lesson 109 Quiz: AI Business Case Study

Question 1

What should generally come first when developing an AI business case?

Purchase the most advanced AI technology available Define the business problem and desired outcome Automate every business process immediately Choose an AI provider before defining the problem

Question 2

Why is establishing a baseline important before an AI pilot?

It guarantees that AI will be successful It provides a comparison point for measuring improvement It removes the need for monitoring It determines which AI model must be purchased

Question 3

Why might a business choose a controlled pilot instead of immediately deploying AI across the organization?

To avoid measuring the results of the project To test value, quality, adoption, cost, and risk before scaling To eliminate the need for employee involvement To guarantee that the AI system will never make mistakes

Question 4

Why should AI quality be measured alongside productivity improvements?

Because faster work is always equivalent to better work Because AI can be faster while still producing incorrect or incomplete results Because productivity cannot be measured Because quality is unrelated to business outcomes

Question 5

What is a sensible approach when deciding whether to scale an AI initiative?

Scale immediately regardless of pilot results Use measurable evidence, value, cost, risk, quality, and adoption results Base the decision only on how advanced the AI model is Ignore employee and customer feedback