OutSystems has announced the Early Access Program for OutSystems Agent Workbench, designed to enable enterprises to create and orchestrate intelligent agents while maintaining security and control.
“Organisations are excited by the promise of AI and agentic systems, but are struggling with endless pilots and ungoverned tool sprawl while the business impact stalls. Legacy systems, siloed data, fragmented AI tools, and complex AI development cycles are slowing progress," said Woodson Martin, CEO of OutSystems. "We built Agent Workbench to make it possible to unlock custom agents as a true business enabler—not an experiment."
Agent Workbench
OutSystems Agent Workbench aims to simplify the transformation of existing business applications, workflows, and tools into intelligent, agentic systems. It claims to enable IT teams to embed agentic AI into enterprise-wide operations without disrupting current workflows or re-architecting core systems.
OutSystems Agent Workbench aims to empower organisations to build and scale AI agents that interpret goals, evaluate options, and make decisions. It offers the flexibility to integrate with custom AI models or third-party providers, centralising control over AI and data access, which decreases costs and enables multi-vendor utilisation.
Agent Workbench is equipped with a range of capabilities. It grounds AI agents in a unified data fabric that connects to diverse enterprise data sources, relational databases, data lakes, knowledge retrieval systems, and the agent's memory of past interactions. It also orchestrates multi-agent workflows, enabling collaboration, escalation handling, and human intervention when necessary.
Lastly, OutSystems Agent Workbench provides a sense of security by enabling organisations to monitor agent performance enterprise-wide. With real-time logging, error tracing, and built-in guardrails, it claims to ensure transparent and reliable decision-making, giving control and oversight.
