How should event structure make handover reasoning visible to downstream systems?

A generated event stream can expose the mechanics of a handover through fields such as `event_id`, `case_id`, `team_id`, `event_type`, `occurred_at`, `recorded_at` and `caused_by_event_id`. The distinction between occurrence and recording time matters when an update reaches another team late.

For a professional services engagement, an approval can occur before a delivery handover but be entered into the shared system afterwards. A final case snapshot hides that information gap. Event records let a customer evaluate what a delivery coordinator could reasonably know when choosing the next action.

JSONL can preserve individual events for incremental processing. A separate case table can hold stable attributes, while causal links explain which request triggered each response. Events with equal timestamps should not silently acquire an invented order from file position.

For onward licensing, a reseller can describe whether the release supports event replay, final-state analysis or both. The schema documentation should define timestamp semantics and visibility rules. These details turn a broad handover story into a reproducible test of decisions made with incomplete, time-dependent information.