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When decisions are explicit, an ordinary workflow may be the clearest solution.

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A fictional team requests equipment.

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The request includes an item, responsible owner and approver.

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Only approval allows its state to change to ready for processing.

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That sequence is known in advance.

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Describe received, checked, approved and processed as separate states.

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Record the information and permissions required for each transition.

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This helps completed mean the same thing across the connected systems.

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A missing required field sends the request back.

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Without approval, the next stage stops.

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These checks can be written explicitly; they do not require a

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language model to interpret the situation.

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A free-text explanation may require interpretation.

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AI could suggest its topic.

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State transitions and permission checks remain fixed application

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rules, even when the explanation sounds persuasive and the suggested

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topic appears reasonable.

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If the same request arrives again, check the existing reference and

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state.

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A previous approval or completed action must not accidentally create a

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second task, order or message.

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Test a missing field, a rejection and a unavailable system.

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Check where work waits and what a staff member can do.

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An error message without someone to act leaves the problem unresolved.

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Choose a process with a clear owner and decision rules.

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Clarify ambiguous agreements first.

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Then use examples to check whether the workflow handles the same

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inputs consistently and supports recovery.

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Read OXIAE’s guide to combining rules, meaningful states and recovery

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in a manageable workflow.