Process Mining Live — Discovering a Workflow from an Event Log

Business process automation is only as good as the workflow model it follows — and in practice, that model has to be discovered from real event data before it can be governed or automated. This simulator streams synthetic event-log traces of a request-to-payment process (submit → validate → approve or manager review → pay → archive) through a live directly-follows graph, applying the Heuristics Miner dependency measure to decide, edge by edge, which transitions belong in the discovered model. Raise the discovery threshold to prune the graph down to a clean core process; raise the noise level to inject more bypass and contradiction traces and watch fitness fall as deviant tokens turn red — the same discover-then-conform loop real process-mining tools run against production ERP and CRM logs.