Can a model follow a policy announcement without checking its authority?
Policy announcements, draft guidance and approved instructions can disagree, creating training tasks that test whether models distinguish communication from binding authority.
**Can a model treat a policy announcement as the rule itself?**
Only if the task's authority structure gives that announcement binding status. In a business workflow, a message can summarise a change without carrying every qualification. Draft guidance can also circulate before approval, and an approved policy can remain valid despite an informal suggestion that it will soon change.
**What makes this a useful training problem?**
The model must distinguish confidence of wording from authority. In insurance administration, a team notice might say that all renewals require a new declaration, while the approved instruction limits the requirement to a defined product class. Applying the notice literally would create unnecessary requests and delay work outside that class.
**What could generated material contain?**
A task pack could include an approved policy, a draft amendment, an announcement and a maintained authority register. Their wording can overlap while their status and scope differ. The expected response should identify the controlling source and describe the conflict without silently rewriting either document.
The learning objective is source judgement within an explicit business authority model. It is not a general assumption that formal-looking documents always outrank operational messages.
Train authority judgement when a confident announcement conflicts with the approved rule.
- Audience:
- Model labs
- Content type:
- FAQ
- Buyer question:
- What it is and why it matters
Content release: r-a220eb6e099b243b
Related questions
- How can a policy change break a handover between connected operational teams?
- Why does a changed policy require more than replacing a reference document?
- Why should a policy task expose events as well as the latest record state?
- Should an agent apply every policy update uniformly to all open cases?
- What should developers map before an agent propagates a policy change?
- Which business features make this workflow worth simulating?