OutSystems introduces governance framework for enterprise AI agents
OutSystems has released Agentic Systems Engineering, a platform approach designed to help enterprises build and manage AI agents within controlled environments. The company aims to address a core tension: organizations need AI agents to operate across complex systems, but those agents must remain secure, compliant, and production-ready.
The system centers on the Enterprise Context Graph, a real-time database that maps applications, workflows, data, and dependencies across an organization's IT infrastructure. AI agents use this graph to understand what systems they can access and what guardrails apply to their actions.
Integrated into OutSystems' Mentor platform, the approach provides a conversational interface within developers' code editors. Developers can ask agents to inspect code, extend functionality, or build new features-all within a shared governance framework.
The setup supports third-party AI tools. Organizations can plug in different agentic systems from various vendors, and each operates under the same governance rules and context visibility.
"AI is creating more change across more tools and surfaces than ever before-but enterprises still need that change to be governed, secure, and production-ready," said Woodson Martin, CEO of OutSystems. "With the Enterprise Context Graph and the next generation of Mentor, organizations get the context, connection, and control they need to use agentic tools across complex systems."
OutSystems plans to launch an early access program in the second quarter of 2026. The approach targets organizations struggling with fragmented IT environments where multiple teams use different tools and need visibility into what AI agents can modify or access.
For development teams implementing generative AI and LLM systems, understanding governance frameworks is becoming essential. Learn more about AI for IT & Development to stay current on enterprise implementation patterns.
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