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Multiple Choice

What is the intended design principle for system action workflows?

Policy-driven automation governs system action workflows by encoding rules that the system follows automatically, so actions occur without needing manual discretion when conditions are satisfied. This design gives you consistent outcomes, easier auditing, and faster processing because decisions are centralized in the policy rather than left to individual judgment. It keeps operations scalable and predictable, reducing delays caused by ad-hoc decisions. Human-in-the-loop would reintroduce discretionary delays because someone must decide each time. Fully manual processes are slow and error-prone, lacking consistent governance. Requiring a supervisor to approve every action creates bottlenecks and is not scalable for routine operations.

Policy-driven automation governs system action workflows by encoding rules that the system follows automatically, so actions occur without needing manual discretion when conditions are satisfied. This design gives you consistent outcomes, easier auditing, and faster processing because decisions are centralized in the policy rather than left to individual judgment. It keeps operations scalable and predictable, reducing delays caused by ad-hoc decisions.

Human-in-the-loop would reintroduce discretionary delays because someone must decide each time. Fully manual processes are slow and error-prone, lacking consistent governance. Requiring a supervisor to approve every action creates bottlenecks and is not scalable for routine operations.