Workflow Analytics

Process documentation describes intended behaviour; analytics reveals actual behaviour, and the gap is usually instructive. Common findings are that one stage accounts for most elapsed time, that a supposedly exceptional path carries a third of the volume, or that approvals cluster at month end regardless of when documents arrive. None of these are visible without instrumentation, and all of them change how a process should be designed.

Because workflow state is held on records in Centralpoint alongside the rest of the governed estate, process measurement draws on the same reporting surface as content and AI activity. Where an AI layer participates, its executions are measured in the same place — so the question of whether AI assistance actually shortened a stage is answerable from one dataset rather than by correlating two.