18/07/2025
OutSystems Unveils Agent Workbench for Scalable Enterprise AI: OutSystems, a leading low-code development platform enhanced by AI, has launched an Early Access Program for its new Agent Workbench solution, aiming to simplify the creation, deployment, and management of enterprise-grade intelligent agents. The introduction comes at a time when many businesses are experimenting with AI but struggling to achieve meaningful returns due to fragmented tools, prolonged development cycles, and siloed data systems.
Designed for enterprises looking to operationalize AI at scale, Agent Workbench offers a unified platform to build agentic systems capable of reasoning, planning, and acting across departments, business processes, and diverse data environments. Delivered on OutSystems' secured and scalable infrastructure, the tool enables IT leaders to transform static systems into dynamic, AI-powered agents without disrupting core operations.
According to OutSystems CEO Woodson Martin, the need for such a solution is pressing. “Complex AI development cycles, fragmented tools, siloed data, and legacy systems are slowing progress,” he said. “Custom agents can now be unlocked as a real business enabler - not an experiment - thanks to Agent Workbench.”
The platform addresses key enterprise pain points by enabling developers to convert existing applications into intelligent systems that integrate seamlessly with major third-party AI providers, including Azure OpenAI and AWS Bedrock, or with custom AI models. Agent Workbench also offers a single data fabric that connects to a wide range of data sources - relational databases, data lakes, OutSystems 11 environments, knowledge retrieval systems like Azure AI Search and Kendra, and even internal agent memory.
Governance and Transparency
This integration allows AI agents to operate with context-rich data and real-time awareness, dynamically adjusting workflows and making decisions based on evolving business conditions. Multi-agent workflows are supported, allowing for agents to work in parallel, sequentially, or hierarchically, managing escalations, collaborating with humans, or autonomously executing complex tasks.
OutSystems also emphasizes governance and transparency with built-in safety features. The system includes guardrails, error tracking, and real-time monitoring to ensure reliable, auditable agent behavior. These controls aim to instill confidence by preventing hallucinations, simplifying troubleshooting, and offering detailed performance visibility at every stage of the AI agent lifecycle.
For businesses grappling with tool sprawl and disjointed pilot projects, Agent Workbench promises to consolidate and operationalize AI efforts under a single, enterprise-grade platform. The offering is especially relevant for organizations seeking to move beyond experimentation toward scalable, secure, and explainable AI implementations.
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