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Maestro user guide

Last updated Mar 28, 2025

Getting started

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.

UiPath® Maestro capabilities and target personas

Maestro enables organizations to manage and orchestrate long-running, complex enterprise processes across AI agents, robots, and people, operating them at scale across systems of engagement and systems of record. This comprehensive solution supports the entire lifecycle of long-running business processes, including modeling, implementation, monitoring, operations, and optimization.

  1. Process Modeling

    Target persona: Process owners (typically in business teams)

    Description: Process owners can model their agentic processes using industry-standard notations such as BPMN (Business Process Model and Notation) and define Business Rules using notations like DMN (Decision Model and Notation). They can fully manage and govern the lifecycle of their process and Business Rules models, including version management, creation, updates, and retirement.

  2. Process Implementation

    Target persona: Automation developers (typically in IT/Automation COE)

    Description: Automation developers can implement the business processes and make them executable using the native capabilities of the UiPath platform, including RPA (Robotic Process Automation) and Agents. The agents can be natively built using the UiPath Agent Builder platform, or developed using other platforms.

  3. Process Operations and Monitoring

    Target persona: Process operations teams and admins

    Description: Process operations teams and admins can monitor live instances of running processes, view execution heatmaps, debug instance failures and exceptions, and mitigate issues. They can also fix variables, pause, skip, rewind, or restart process instances as needed.

  4. Process Optimization

    Target persona: Process excellence/analysis teams and process admins

    Description: Process excellence and analysis teams can analyze the efficacy of their current processes, perform deep analysis such as process simulation, root cause analysis, and bottleneck detection, and identify opportunities to improve process design for increased efficiency. Process admins can update eligible instances of processes to new versions published by process owners.

Key-benefits of Maestro

Maestro serves as a mechanism to enhance the performance of your automated workforce and systems. It combines process data with task and automation-level data to better understand your processes.

Maestro helps you:

  • Orchestrate work across multiple systems

    Model and implement complex, long-running workflows across multiple systems and ecosystems to achieve your business outcomes.

  • Deliver agentic AI transformation

    Deploy Agents, from UiPath or any other provider, using a consistent framework and orchestrating agentic actions in a well-defined process, with humans-in-the-loop for controlled agency.

  • Execute and manage processes at scale

    Leverage the event-sourced engine to execute processes at scale with ability to fix, restart, modify, and manage versions.

  • Continuously improve processes and agents

    Monitor and learn from real-time process data to identify bottlenecks, opportunities, and proactively improve agents over time.

  • Operate with trust and governance built-in

    Define business process rules and guardrails with standard Business Process Model and Notation and DMN rules, and allow full observability of actions performed by AI agents, robots, and people.

Working with complex business automation workflows

If you already have automations, use long-running workflows, and use the UiPath® framework, Maestro creates a causality chain between your automations and provides insights into how the more complex processes are executed.

Maestro helps you optimize your workforce automations and systems to boost outcome-driven process performance. Using Maestro, you can gain a deeper understanding of your processes by combining your process data with task and automation-level data.

Why use Business Process Model and Notation

Maestro uses Business Process Model and Notation (BPMN), a mainstream standard for modeling business processes. BPMN is around since 2005, and is preferred by process excellence practitioners as an enabler for standards-based, model-driven collaboration between business groups and IT implementers. It has grown in importance in the agentic AI era, as an enabler for controlled and governed agentic automation deployment for the following reasons:
  • BPMN provides an intuitive way to model complex workflows involving multiple agents, allowing all stakeholders - business users, automation developers and AI experts to collaborate on design of dynamic processes, and deal with unpredictable agent behaviors using a specified set of rules.
  • BPMN provides a common language to facilitate effective collaboration among business users, automation developers and AI experts ensuring everyone is on the same page on intended process design and AI agent interactions.
  • With constructs such as error and exception handling support, BPMN provides a ready framework for achieving controlled agency while designing and operating AI agents at scale.

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