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PracticeLab15 min 50 🪙

Human and AI Decision Boundaries

Design what an agent may recommend, do, stop, and escalate.

Scenario

Foundation case

An e-commerce company receives 18,000 refund requests monthly. Refunds below TRY 2,000 currently require agent approval and wait 19 hours on average. Seventy-two percent have verifiable reasons such as delivery delay or damage. Fraud flags include more than three refunds from one card in 30 days, a different delivery address, and high-value electronics.

Your role

You are the product owner for refund operations.

Your task

Define what an agent may automate, recommend, and escalate.

Volume and risk signals

  • There are 18,000 monthly requests and 19 hours of waiting.
  • 72% have verifiable reasons.
  • More than three refunds per card is a risk signal.
  • High-value electronics carry higher consequence.

Your response

There is no single correct answer; we will evaluate the reasoning chain you build.

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