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FREE AI FDE PRACTICE / CUSTOMER & DELIVERY

Turn “we need AI” into a two-week pilot

Intermediate 10-min practiceEditorial review: 2026-10-05

YOUR SCENARIO

How would you approach this?

A distributor wants an AI assistant for its support team. You have two weeks, one engineer, and access to a sample of resolved tickets. The sponsor wants a visible improvement but has not defined success. What would you propose?

This is an illustrative practice scenario. State any additional assumptions in your answer.

Make your case first.

Clarify the goal, identify the biggest uncertainty, outline an approach, and explain how you would test it. Spend about 10 minutes before opening the reference.

Your notes are not submitted or saved. Keep a copy before leaving this page.

Reveal reference approach Clarifying questions, decisions, and tradeoffs

Clarify before designing.

  • Which repeated task takes the most operator time, and what happens when it is done incorrectly?
  • Who can approve data access, review outputs, and accept the pilot?

One defensible approach

  1. 01

    Observe a complete case

    Follow an operator from opening a ticket to resolving it. Record the current handling time, required systems, and rework. Select one frequent task with a clear finish, such as drafting a policy-backed response for review.

  2. 02

    Write the acceptance agreement

    Agree on eligible ticket types, an error definition, reviewer workload, and a baseline comparison. Mark target improvements as pilot goals, not measured savings. Name the customer owner who will judge the result.

  3. 03

    Ship one measurable slice

    Build a read-only draft flow using approved examples, with the operator retaining the send action. Evaluate held-out tickets, capture rejected drafts, and finish with a go, revise, or stop decision supported by the observed results.

Explain the tradeoff

A narrow pilot covers fewer tickets but lets you attribute changes and learn whether the workflow helps. A broad chatbot may demonstrate more features without establishing value.

Common mistakes

  • Selecting a model before observing the workflow.
  • Counting generated drafts as resolved customer problems.

KEEP THE CONVERSATION GOING

Try the follow-ups.

  1. The sponsor insists on automatic sending. What evidence would you require first?
  2. What do you cut if data access arrives a week late?

Review your own answer.

Tick the points you covered. This is a reflection checklist, not an automated score or a hiring prediction.

Check the underlying concepts.

The scenario and reference approach were written for SaveMyToken. These sources support the technical concepts; they do not report this question being asked by an employer.

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