human in the loop

Analysts spend most of a case gathering evidence and little of it deciding. Build the copilot around assembling the case and explaining signals, keep the decision with the analyst, and measure decision quality as well as speed.

A shared vocabulary for one of the biggest decisions in AI product design: how much the AI does on its own. The interviewer wants the levels, and the rule for choosing among them.

Approval screens fail in a predictable way: people click 'approve all'. The interviewer wants a design that focuses attention on the changes that matter and makes careful review fast.

Regulators fine firms for missed crime, not slow reviews. Decide what the agent prepares, what a named analyst must decide and what a back-test must show before anything closes automatically.

Handoffs decide how customers remember an AI support experience. The interviewer wants explicit triggers, a view on the two kinds of error, and a handoff the human can act on without re-asking.

Approval queues create the best dataset an agent team will ever have. This question tests whether you use it to promote autonomy action by action, with a bar set before you look.

Decide which support tasks an agent can safely own. An 82% pass rate needs a denominator, a breakdown of failures and a comparison with today's service.