UiPath Process Mining, now presented as process intelligence inside UiPath Maestro, helps organizations see how their processes actually flow. It turns activity records into visual process maps, exposes where work stalls or deviates and highlights opportunities for improvement. Those insights then feed intelligent automation on the UiPath Platform, which also covers RPA, agentic AI and orchestration. The aim is to move from one-off analysis to continuous improvement of how work gets done across the company, with findings that business and IT teams can both act on, whether that means redesigning a step, retiring a manual task or adding a bot or agent.
This is aimed at large organizations with an automation or transformation program: process owners, operations leaders, business analysts and automation center-of-excellence teams. Companies already running UiPath robots and agents get the most from it, since discovery and execution sit in the same ecosystem. Smaller teams without dedicated process analysts may find it heavier than they need, because it is positioned for enterprise-scale transformation and sold through the broader UiPath plans.
An operations team can map an order-to-cash or procure-to-pay flow and see which steps loop back or wait the longest. A finance leader can compare how invoices are handled across regions and decide where automation would pay off first. An automation team can pick the best candidates for new bots based on measured process data instead of interviews alone. After deployment, the same insight helps track whether robots, agents and people are meeting targets, so the team can adjust the process and keep improving it over time.
