How to Calculate the ROI of an AI Project Quiz

Answers and explanations appear as you take the quiz.

1. Which formula matches the standard ROI calculation described in the guide?
   • Total benefit divided by number of users
   • (Total benefit minus total cost) divided by total cost
   • Total cost divided by monthly benefit
   • Time saved multiplied by salary
2. How is the payback period calculated?
   • Total benefit divided by total cost
   • Number of months until adoption reaches 100 percent
   • Upfront cost divided by monthly net benefit
   • Monthly licence fee multiplied by 12
3. A tool saves 30 minutes per user per day, but only 40 percent of staff use it regularly. What should the ROI model do?
   • Scale the benefit down to reflect the 40 percent adoption rate
   • Assume all staff will eventually use it and ignore the figure
   • Double the benefit to account for enthusiastic users
   • Exclude the tool from the analysis
4. Which of these is an example of a hidden cost the guide says people often forget?
   • The published monthly licence fee
   • The vendor's list price per API call
   • The cost of the office the team works in
   • Staff time spent reviewing and correcting AI output
5. According to the guide, when does time saved become real financial value?
   • Automatically, as soon as the tool is deployed
   • Only when freed hours are redeployed to valuable work, reduce overtime or avoid hiring
   • Only when the vendor reports it in a dashboard
   • Only if the AI runs overnight
6. Why is measuring a baseline the first step?
   • Without knowing current time, error rates and volume, any claimed improvement is a guess
   • It is required by accounting law for AI projects
   • It tells you which vendor to choose
   • It replaces the need to measure results after launch
7. How should error reduction be valued in an ROI model?
   • By the number of AI features used
   • By the accuracy score the vendor advertises
   • By errors avoided multiplied by the cost per error
   • By the percentage of tasks automated
8. Why do pilot results often shrink when an AI tool is rolled out widely?
   • Vendors deliberately slow tools down after pilots
   • Larger teams always type more slowly
   • ROI formulas change at scale
   • Pilot users are often enthusiasts working on easier cases