What records, policies and state can a generated allocation dataset contain?

A dataset for this workflow can contain the records an allocation decision depends on, generated so that they stay consistent with each other.

Core records include customers or policyholders, open items such as invoices, premium instalments or loan repayments, bank statement lines, remittance advice text, credit notes, refunds and reversals. Relationships can include related entities, payer-on-behalf-of arrangements and parent-child account structures.

Policies can be generated as readable rules: which tolerances apply to short payments, when an overpayment becomes a credit balance, how long a receipt can sit unallocated, and who must approve a write-off.

A task pack adds the instruction, the starting state and the reference outcome. A simulated environment adds tools to search items, read history, post an allocation, park a receipt and raise a case, together with state that changes as the agent acts.

Three properties are worth asking for:

- Consistency across records, so a reference in a bank line can be traced to the right open item. - Planted ambiguity, such as two customers with similar names or an invoice number with a transposed digit. - Event sequences, so a reversal or credit note arrives after an allocation and tests recovery.

All of this is generated. It is informed by how such workflows operate but is not a copy of any organisation's records, and a buyer should check grounding and disclosure risk in a sample.