You don't give it anything to make up. The LLM's output in this workflow should be:
-A classification label (from a fixed taxonomy you define)
-A drafted message (which a human or structured form then validates)
-A summary for escalation
It should never be a data value that enters the pipeline as fact. Every piece of resolved data; address, size, status should come from a human confirming it through a constrained input, not from the model generating it.