Managers choosing practical AI literacy · About 30 minutes

Choose an AI pilot your team can evaluate

Compare three proposed team tasks using measurable outcomes, data access and the cost of a wrong answer.

Use the sample below. No paid model, signup or course purchase is needed for this exercise.

Download the worksheet

Your starting material

Invented team proposals:
A. Turn public product release notes into an internal checklist.
B. Automatically approve customer refunds using private account records.
C. Draft an employee's final performance rating from private manager notes.
Assume the team has no new data permissions and no approved production integrations.

Make your first attempt

  1. For each proposal, list the decision owner, available data, required permissions, observable result and consequence of a wrong answer.
  2. Select one task that can be tried with current access. Write a manual baseline and three acceptance checks before selecting a tool.
  3. Write a stop condition and who must review the output. Keep the exercise separate from a production deployment decision.
Check your result

Try the task before opening these checks. Tick each one after comparing it with your own output.

Checks stay on this page only. Your answers and work are not uploaded.

Choose what to learn next

A useful management course should help you scope and evaluate work, rather than promise an automatic business transformation. Compare the syllabus with the gaps this exercise exposed.

  • AI for Everyone

    Its nontechnical curriculum covers AI projects and organizational decisions; check current pricing.

  • AI Builders 2027

    Consider broader guided project practice if you intend to build and evaluate a working tool. Check language and access details.

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Course sources

This worksheet is an original practice exercise. The following pages describe the learning options.

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