Which records and relationships could a generated approval-authority dataset contain?

A generated dataset for this workflow could include several record families, linked so that a decision can be traced from request to authority.

**Authority records.** A matrix of roles, limit types and values, with effective and end dates. Limits can be defined by amount, risk rating, product or category, and can state what they are measured against, such as a single item or a rolling total.

**People and roles.** Positions, reporting lines, and which positions may act for others. Records stay at role level, with identifiers like `ROLE-0231`.

**Delegations.** Temporary grants, acting arrangements, revocations and expiries, each with a grantor, a grantee and a scope.

**Requests.** Items awaiting decision, such as a purchase order, claim payment, credit variation or refund, with amounts, risk flags and supporting evidence.

**Routing and decisions.** Events showing who received an item, what they did, comments, returns and escalations.

**Policy text.** Written rules that match the structured limits, plus a few deliberate gaps or ambiguities if a buyer asks for them.

Relationships carry the weight. A request points to a requester role, an approver role and the delegation valid on the decision date. Because everything is generated, volumes, edge-case mix and domain can be scoped with the buyer, and the sample should be inspected for grounding and disclosure risk.