How should I scope a conditional approval dataset or environment with MirrorFirm?

Start narrow and define five things.

**Domain.** Choose one, such as lending, property insurance or utility connections. Mixing domains early makes quality harder to judge.

**Condition kinds.** Pick a few that your agents must handle, for example evidence-based, time-based and consent-based conditions.

**Roles and authority.** List who sets, clears and waives each kind, since this drives most of the gating logic.

**Exceptions.** Choose the failure modes you most want to test, such as expiry, reopening or conflicting documents.

**Format and fit.** State the file formats, schema conventions and environment interfaces you use.

Limits apply. The output is generated and synthetic, so it will not contain real business records, and it does not come with any assurance on privacy or regulatory acceptance. Whether it suits a particular training or evaluation purpose is something you inspect, not something to assume.

Licensing terms, volumes and delivery arrangements are agreed for each engagement, so raise them early. A useful first step is a small sample in your target domain that you run through your own checks, then decide whether to scope a larger pilot.