Value proposition

UiPath Maestro™ enables AI agents, robots, and people to work together through intelligent orchestration and control.

By coordinating multi-agent, robotic, and human work—with built-in governance, human-in-the-loop, and continuous optimization—Maestro ensures every process runs safely, transparently, and at scale.

Agents denken	Roboter führen aus	Der Mensch bestimmt
Autonome KI Entscheidungsfindung Ständiges Lernen	Aufgabenausführung Automatisierung in großem Umfang Integration und Geschwindigkeit	Für den Menschen konzipiert Governance und Ethik Strategische Aufsicht

What Maestro delivers

1. End-to-end outcomes: Orchestrate full processes across apps and data—not isolated tasks.
2. Safety and trust: Guardrails, policy, testing, and human-in-the-loop where it matters.
3. Speed to value: Reusable skills and workflows, low-code/pro-code options, and rich API/data integrations.
4. Scale and reliability: Elastic execution, resilient handoffs/retries, and SLA-driven control.
5. Visibility and improvement: Real-time telemetry and process intelligence to optimize ROI.

Why Maestro matters

Traditional automation platforms focus on task-level execution. Maestro introduces a process-centric model that empowers organizations to build, run, and govern intelligent workflows across the full spectrum of digital workers.

Mithilfe von BPMN 2.0 und DMN vereint Maestro verschiedene Agents unter einem orchestrierten Fluss, der Modellierung, Entscheidungslogik und Steuerung in Echtzeit kombiniert. Es bietet eine Live-Instanzverwaltung, intelligentes Routing, Ausnahmebehandlung und SLA-Nachverfolgung – alles in einem gesteuerten, skalierbaren Framework.

What makes Maestro unique is its ability to operationalize collaboration between AI and automation in a human-aware environment. AI agents can trigger RPA bots, escalate to human-in-the-loop decisions when needed, and dynamically adapt to changes using process intelligence—all without breaking flow or control.

Strategic impact

Maestro transforms enterprise automation from static workflows into adaptive systems that think, act, and learn. This positions organizations to:

• Evolve beyond task automation toward goal-driven, data-responsive processes.
• Scale AI adoption responsibly with governance and compliance built in.
• Accelerate digital transformation by unifying agents, robots, and people in a single orchestrated environment.