How should a resale product represent policy propagation as an operational process?

An event representation can make the workflow's meaning explicit. A generated stream could contain `policy_published`, `notice_delivered`, `procedure_updated`, `case_reassessed` and `action_authorised` events. Each event would identify the affected policy or work item, the responsible role and the preceding event where a causal relationship exists.

Useful fields include `event_id`, `event_type`, `occurred_at`, `actor_role`, `policy_version_id`, `work_item_id` and `caused_by_event_id`. A publication event need not imply that every team has received the notice. Likewise, delivery need not imply that a local procedure has been revised.

A reseller could distribute this sequence as JSONL alongside a schema defining the meaning of each event type. Customers could reconstruct operational state or train an agent to identify the next missing action.

The important modelling choice is to preserve distinct adoption stages. Collapsing them into a single `policy_current` flag removes the coordination problem. A customer integrating the product should be able to ask which business action lacked a required predecessor, rather than merely checking whether the newest document existed somewhere in the input.