How can a buyer inspect the quality of generated scheduling records before using them?

Quality inspection is worth doing in layers, and most of it can be automated on a sample.

**Structural invariants.** These should hold for every record:

- Instalment amounts sum to the scheduled total once rounding is included. - Due dates are strictly increasing within a schedule version. - Each superseded schedule points to a successor, and only one version per agreement is active. - Every event references a line that existed at its timestamp.

**Policy consistency.** Replay each recorded decision against the policy version in force on its date. Decisions that cite a rule they breach, or approvals dated after the change they authorise, indicate a defect.

**Behavioural plausibility.** Read a handful of complete cases end to end. Do the notes sound like staff handling the case? Are the exceptions ones that happen in this domain? Is the mix of easy and awkward cases sensible? A domain expert on your side is the best judge here.

**Diversity.** Look for repeated templates, identical amounts, or request wording that varies only in names or dates. Low variety lets a model memorise instead of reason.

**Grounding and disclosure.** The output is generated, so it should not contain real records, but that should be checked rather than assumed. Search for identifiers, free text or combinations that look like real people or organisations, and ask how the generation was grounded.

Record the results so they can be compared across releases.