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Four-minute self-assessment

Can you tell whether your AI agents make good decisions?

Fourteen questions in three parts. One workflow and the decisions within it. Find out who owns your agents’ decisions, how your organization expects them to be made, and whether you can see when they differ. No email needed.

Part 1 of 3

Ownership

Who owns the decisions and who can step in

01 Can you name the business decision your agent is making—and who owns its quality?
02 If one of the agent’s decisions turned out to be wrong today, could you name who answers for it within the hour?
03 Is there someone with the authority to stop or reverse an agent’s decision, and do they know it?
04 Do the teams involved in the workflow agree on who decides each step?
05 Is there one live view, shared by every team involved, of who decides what and by which criteria?
06 Are thresholds, escalation conditions and intervention owners agreed in advance?

Part 2 of 3

Decision trajectory

How your organization would make this decision

07 Is your experienced people’s judgment captured as an agreed reference, independent of the agent’s instructions?
08 Can your experienced people map how they would approach the same business decision, including what they would consider, what they would question, and when they would involve someone else?
09 Can your people explain the organizational impact of a decision at each node—including downstream effects, handoffs and what happens if the decision is wrong?
10 Could the decision owner carry the same assurance method to the next agent workflow?

Part 3 of 3

Comparison

Whether you can see when an agent’s decision differs

11 Can you reconstruct why the agent reached a particular business decision?
12 Can you compare an agent’s decision trajectory with the decision criteria your responsible teams have agreed upon?
13 Would you detect a missing business consideration before the same mistake repeats at scale?
14 Can you measure decision-quality gaps and the cost of reviewing them?

Your answers stay in your browser. This is self-reported; the sprint tests it on a real case.