The operational question
In this illustrative research scenario, a policy researcher uses AI to translate a policy into testable rules. The workflow draws on the source policy and interpretation notes. Its central risk is a formal rule silently changing the source’s meaning. The design question is how to approve a candidate rule for testing for the policy review group while preserving the trace from source language to operational condition. This is a proposed evaluation scenario, not a report of an Archetypal customer deployment or a demonstrated operational outcome.
Translate policy into a decision
A useful rule preserves the meaning of its authority while making the next action clear. Identify the source authority, the condition that activates the rule, the facts needed to evaluate that condition, and the permitted dispositions. Separate requirements from guidance and ordinary cases from exceptions. Keep ambiguous interpretations available for review rather than hiding them inside an implementation. A rule should describe more than a prohibited phrase. The same words can have different meanings in different contexts, and the same prohibited act can be described without the expected words. Scenario design should examine both directions: harmless requests that resemble a violation and violations expressed indirectly.
Put the control in the workflow
Place this review immediately before the team can approve a candidate rule for testing. The policy researcher should see the proposed result beside the relevant parts of the source policy and interpretation notes. Identify which statement is supported by a source, which is an interpretation, and which remains unresolved. Carry the trace from source language to operational condition into the decision record rather than relying on a reviewer to remember it from another screen.
Authority Purpose.