OutSystems, a leading AI development platform, announced Agentic Systems Engineering, a new approach to AI development designed to help organisations build, manage, and evolve governed agentic systems for the enterprise. 

AI development is radically transforming how software is built and the role of developers. As agents generate code faster than ever, there has been an explosion of new tools, but this isn't leading to higher-quality software or more coherent architectures. Further compounding the issue are legacy systems that restrain innovation and require even more complex data management and integration.

OutSystems Agentic Systems Engineering is a different approach. It addresses the technical complexity and fragmented architectures of modern enterprises that are often difficult to reason over. By developing the rich context and guardrails agents require, it ensures the delivery of reliable, secure, and compliant systems.

At the centre of this approach is the OutSystems Enterprise Context Graph.  Drawing on more than two decades of software development centred on business intent rather than code alone, the Enterprise Context Graph extends OutSystems unique contextual architecture with the dynamic tooling that agents need to work effectively across complex systems.

By providing a high-fidelity and real-time understanding of the enterprise architecture – enterprise apps and agents, workflows, data, and their interconnected dependencies – the Enterprise Context Graph is the platform advantage that enterprises need to realise the power of agentic technologies in their business.

"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. "Agentic Systems Engineering is our answer to that challenge. With the Enterprise Context Graph and the next generation of Mentor, OutSystems gives organisations the context, connection, and control they need to use agentic tools across complex systems and deliver real enterprise outcomes."