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  • Overview
    • Introduction to UiPath Maestro™
    • Requirements
    • Example scenarios
  • Process modeling
  • BPMN
  • Process implementation
  • Process operations
  • Process monitoring
  • Process optimization
  • Reference information
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Maestro user guide

Last updated Jul 8, 2025

Introduction to UiPath Maestro™

In today’s business landscape, complexity is a significant challenge.

Enterprise workflows often involve a mix of deterministic and non-deterministic processes, with large enterprises typically using over 175 systems. This complexity includes a combination of legacy and modern applications, a fragmented technology stack, siloed data across disparate systems, and coordination across multiple internal teams and external stakeholders.

These factors can lead to limited visibility into end-to-end processes, difficulty in tracking process and business KPIs, and missed opportunities for efficiency improvements. Additionally, while AI is advancing rapidly, the lack of a comprehensive learning loop across the entire process lifecycle makes it challenging for organizations to realize the full ROI from their AI investments in a governable manner. This complexity results in disjointed processes, increased total cost of ownership, and hindered achievement of key business outcomes.

Discover how UiPath Maestro™ helps organizations simplify complex enterprise automation. This short video introduces the challenges of coordinating people, AI agents, and systems—and shows how Maestro delivers process visibility, orchestration, and governance across the automation lifecycle.

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