- Introducción
- Primeros pasos
- Crear con Maestro BPMN
- Comprender el modelado de Maestro BPMN
- Abrir el lienzo de modelado
- Modelar tu proceso
- Alinear y conectar elementos BPMN
- Autopilot para Maestro (vista previa)
- Repositorio de procesos
- Implementar un proceso BPMN simple
- Implementar un proceso BPMN complejo
- Depuración
- Simular
- Evaluations (Preview)
- Escenarios de implementación comunes
- Crear con Maestro Case
- Introducción a Maestro Case
- Maestro BPMN frente a Maestro Case: cuándo utilizar la gestión de casos
- El ciclo de vida de Maestro Case: del desencadenador de eventos a la experiencia de la aplicación
- Crea tu primer caso con Maestro Case
- Build a Maestro Case with a coding agent (preview)
- Definir claves de caso (de sistema o externo)
- Establecer contratos de entrada/salida y de escritura diferida de tareas
- Reglas de salida y terminación temprana de etapas
- Modelar las etapas principal y secundaria
- Iniciar un caso desde Data Fabric
- Implementar perfiles y permisos a nivel de etapa
- Establecer SLA y reglas de escalado automatizadas
- Configurar un bucle de reprocesamiento (reingreso)
- Configuring and testing the Case Manager Agent (preview)
- Contrato de entrada y salida del gestor de casos
- Diccionario de componentes de Maestro Case
- Crear con Maestro Flow
- Nodos del conector
- Maestro Automate
- What is Maestro Automate?
- Capabilities comparison
- Integraciones
- En funcionamiento
- Supervisión
- Optimizando
- Información de referencia
Maestro Automate: a lightweight Maestro runtime for short-running workflows of AI agents and APIs, built on the Flow canvas.
Maestro Automate is a lightweight runtime for short-running workflows of AI agents and APIs. Workflows are built on the Flow canvas and run on the same Maestro engine as Maestro Orchestrate, with a runtime envelope and a run price sized for work that finishes within minutes or hours.
You choose Maestro Automate when you create the project and the platform governs it from the first run.
Maestro Automate and Maestro Flow share the same build tools, and you can convert between them. For the full comparison, refer to Choosing between Maestro Orchestrate and Maestro Automate.
Consumo
Maestro Automate meters consumption per run at a reduced rate compared with Maestro Orchestrate, and a monthly allowance of runs is included, depending on your pricing model and platform tier. For the rates and allowances that apply to your organization, refer to Licensing – Unified Pricing or Licensing – Flex Plan.
Building a Maestro Automate workflow
Maestro Automate workflows are built on the Flow canvas, so the Flow documentation applies without change for functional components. The canvas, node set, evaluations, variables, expressions, control flow, error handling, triggers, and publishing behave the same way. You can create a new Maestro Automate project from any surface that you can build with Maestro Flow.
Refer to the following pages for how to build:
- Getting started: what Flow is and how to build a first workflow
- Core concepts: the canvas, data flow, control flow, and triggers
- Node reference: every available node
- Deploying a Flow: publishing a workflow to Orchestrator
Where Maestro Automate differs
Runtime limits, live-instance control, monitoring, and trace retention are where the two products part ways. Refer to Choosing between Maestro Orchestrate and Maestro Automate for the comparison.