What does a scoped pilot for delegated authority in healthcare billing look like?

A model lab's evaluation team wants to test whether an agent respects delegated authority in healthcare administration. They ask MirrorFirm for a pilot set in a hospital billing office.

The scoping conversation settles four things. The workflow: a billing officer may adjust an invoice by up to a fixed amount, while larger adjustments, such as writing off a patient account balance, go to the revenue manager. The material: a simulated environment with `accounts`, `adjustment_requests`, `authority` and `notes` tables, plus a scripted revenue manager. The use: evaluation only, with a held-out set the lab keeps separate from training. The limits: the data is generated, so the lab plans its own disclosure review before any wider sharing.

The pilot request lists acceptance checks: foreign keys resolve, every escalation case has a gold end state, and each outcome type exists (approve, decline, condition, return). The lab also asks for deliberately difficult cases: a request just below the limit, a series of small adjustments on one account that together exceed it, and a referral sent to the wrong role.

The consequence: the lab's first run produces a report showing the agent handles single large adjustments well but misses the split-adjustment pattern. That finding shapes the next round of scoping toward more aggregation cases.

**What it teaches:** a pilot is most useful when its acceptance checks and difficult cases are decided at the start, and when the findings feed the next scope.