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Maestro user guide
- Introduction
- Getting started
- Building with Maestro BPMN
- Understanding Maestro BPMN modeling
- Opening the modeling canvas
- Modeling your process
- Aligning and connecting BPMN elements
- Autopilot for Maestro (Preview)
- Process Repository
- Implementing a simple BPMN process
- Implementing a complex BPMN process
- Debugging
- Simulating
- Common implementation scenarios
- Building with Maestro Case
- Introduction to Maestro Case
- Maestro BPMN vs. Maestro Case: when to use case management
- The Maestro Case lifecycle: from event trigger to app experience
- Build your first case with Maestro Case
- Build a Maestro Case with a coding agent (preview)
- Defining case keys (system vs. external)
- Establishing task I/O and write-back contracts
- Exit rules and early stage termination
- Modeling primary and secondary stages
- Triggering a case from Data Fabric
- Implementing stage-level personas and permissions
- Setting SLAs and automated escalation rules
- Configuring a rework loop (re-entry)
- Configuring and testing the Case Manager Agent (preview)
- Case Manager input and output contract
- Maestro Case component dictionary
- Building with Maestro Flow
- Integrations
- Operating
- Monitoring
- Optimizing
- Reference information
Conversational nodes for modeling real-time, AI-powered chat and voice experiences in Maestro Flow.
This page covers modeling a:
- Chat experience — text-based multi-turn chat, deployable across every chat channel supported for conversational agents.
- Voice experience — real-time inbound or outbound phone calls with a live voice agent.
Related
- Chat — central documentation for chat-based conversational agents — contains deployment, licensing, and observability details.
- Voice — central documentation for voice-based conversational agents - contains deployment, limitations, and FAQ.
- Overview — entrypoint for chat and voice conversational agents on the UiPath platform.