Process Mining Live — Discovering a Workflow from an Event Log (2D)

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 2D companion streams the same synthetic event-log traces of a request-to-payment process (submit → validate → approve or manager review → pay → archive) through a live directly-follows graph laid flat on a plane you can drag and zoom, applying the identical 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.