Answer 20 questions across the four Deployment Stack layers. Each answer scores 0–3 points. Your total score determines whether this use case is ready for autonomous agent deployment.
Does this process require more decisions per hour than your team can handle?
Do decisions need to happen faster than human reaction time allows?
Does the decision require synthesizing more information than a person can practically review?
Is the execution environment fully digital and instrumented?
Would automating this decision meaningfully reduce cost per transaction?
Can the agent's actions be reversed or rolled back if incorrect?
Does the system provide feedback on decision quality within minutes or hours (not weeks)?
Is the set of possible actions the agent can take clearly bounded and predefined?
Can you observe what the agent perceived, decided, and executed in real time?
If the agent fails completely, can operations continue without it?
Is there a written policy defining what this agent is and is not allowed to do?
Is there a named human owner accountable for this agent's behavior?
Are decision traces, action logs, and outcome metrics being captured?
Does the agent have hard operational limits (financial caps, rate limits, scope boundaries)?
Is there a documented incident response plan for agent failure?
Can you identify who is accountable for every decision the agent makes?
Can each decision be reconstructed and audited after the fact?
Are controls proportionate to the potential impact of the agent's decisions?
Can affected parties contest or appeal the agent's decisions?
Does this deployment comply with applicable industry-specific AI regulations?