How can a buyer inspect the quality of generated escalation data before building on it?

Start with checks you can script, then add a small manual review.

**Referential integrity.** Every case should resolve to a party, an authority rule and a status history. Every escalation should point to a note and a legal target role.

**Policy agreement.** For each case, recompute which role may decide it from the authority table and compare with the label in the data. Disagreements should exist only where the pack states a deliberate conflict.

**Boundary coverage.** Count how many cases sit just below, at and just above each limit. A release where almost everything is clearly under or clearly over tests very little.

**Solvability.** Ask whether each task has at least one path to its expected end state using only the permitted tools. Run a scripted reference solution to confirm.

**State logic.** Confirm that status transitions in the history are legal and that timestamps do not run backwards.

**Manual review.** Read a sample of notes and escalation reasons. Check that they are specific to the case facts and not generic filler, and that nothing reads as copied from a real record.

Because the output is generated, grounding and disclosure risk are part of inspection, not an afterthought. Neither a clean consistency run nor a clean manual review proves the data is suitable for every purpose. Decide which risks matter to your use before scaling.