Agent Workbench
Govern Agents the Way You Already
Govern Apps.
Agentic AI goes beyond generating content. AI agents can understand business context, reason over information, make decisions, and take action—with people involved wherever oversight is needed.
Moving agentic AI from pilot to production requires more than an AI model. Enterprises need security, governance, data, orchestration, and lifecycle management to work together. Agent Workbench brings these capabilities together in one platform—so you can build, orchestrate, govern, and scale AI agents without stitching together disconnected tools.
Three core capabilities
AI model & data integrations
A foundational layer connecting agents to the models and enterprise data that power their actions and decisions.
Agent lifecycle management
Create, deploy, and monitor agents with the same low-code speed and agility you already use to build applications.
Agent orchestration
Design and coordinate multi-agent workflows and patterns, so agents can hand work to one another, not just to a human.
Enterprise control, built in
Governance
Apply access controls, policies, permissions, and human oversight across your agents.
Guardrails
Define boundaries for what agents can access and do, keeping actions aligned with business rules and enterprise standards.
Observability
See how agents operate—including their actions, tool usage, costs, and outcomes—so you can manage AI with confidence.
Enterprise context
Ground agents in structured and unstructured enterprise data through OutSystems Data Fabric, giving them the context they need to deliver relevant, auditable results.
Agent Workbench video
Agent Workbench
Build, orchestrate, govern, and scale AI agents for your enterprise applications.