Process Intelligence
Reveal how processes actually operate through data and turn findings into improvement decisions.
When processes span different systems, teams and manual tasks, seeing the actual flow can be difficult. Process Intelligence reveals delays, rework, process variants, manual touchpoints and deviations from rules. This enables improvement and automation decisions to be based on operational data rather than assumptions.
Operations are now distributed across ERP, CRM, BPM, ticketing, email and user applications. At the same time, automation and AI investments need to be directed toward the right processes. Process Intelligence turns growing digital traces into actionable process visibility, creating a stronger starting point for these investments.
It gives process owners and management teams a shared view of operational reality. It helps prioritize improvement areas by impact, track the results of changes and direct resources to the right points. Value can be measured through indicators such as cycle time, capacity utilization, compliance, service levels and decision quality.
Process mining reconstructs the end-to-end process flow from event logs in enterprise systems. Task mining reveals desktop tasks such as data entry, copying, checking and follow-up that users perform across applications. Used together, they provide visibility into both the process across systems and the manual work that remains within it.
The first engagement should be limited to a single process with a clear business problem, sufficient transaction volume and usable digital records. Define the process owner, the business question to be answered and the success indicators at the outset. Once the findings have been validated with the business teams, convert them into improvement, automation or redesign actions.