OutSystems has launched Agentic Systems Engineering — a platform approach that gives enterprises architectural control over AI agents without sacrificing development speed.
OutSystems announced Monday a new approach to enterprise AI development it is calling Agentic Systems Engineering — a framework designed to address a problem that has quietly undermined much of the industry’s enthusiasm about AI-generated code: speed without coherence, and tools without governance.
The announcement centers on two components. The first is the OutSystems Enterprise Context Graph, a real-time map of an organization’s entire application architecture — its apps, agents, workflows, data, and the dependencies connecting them — built to give AI agents the contextual understanding they need to operate reliably across complex enterprise systems. The second is a next-generation version of Mentor, OutSystems’s AI development assistant, which uses that context graph to generate code, diagnose errors, and build application logic within guardrails that enforce security, compliance, and architectural consistency.
The Problem OutSystems Is Solving
The proliferation of AI coding tools has produced a paradox. Agents are generating code faster than at any point in the history of software development — and the quality and coherence of enterprise architectures is not improving commensurately. New tools are multiplying. Legacy systems are becoming harder to integrate. And the gap between what AI can generate and what enterprises can safely deploy in production remains stubbornly wide.
OutSystems is arguing that the missing ingredient is not a better model. It is context — a rich, accurate, real-time understanding of the enterprise environment in which agents are operating, combined with the guardrails that ensure their outputs are production-ready rather than merely functional.
“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, Chief Executive of OutSystems. “With the Enterprise Context Graph and the next generation of Mentor, OutSystems gives organisations the context, connection, and control they need to deliver real enterprise outcomes.”
An Open Ecosystem With Unified Governance
The strategic ambition of the announcement extends beyond OutSystems’s own tooling. The company is positioning the Enterprise Context Graph as infrastructure that any agentic coding tool can operate within — not just Mentor. Developers using Claude Code, OpenAI Codex, or Cursor will be able to build on the OutSystems platform through the same shared enterprise context and governance layer, operating within consistent guardrails regardless of which tool they choose.
That framing — an open ecosystem with a unified governance architecture underneath it — is a direct response to one of the most persistent concerns among enterprise technology leaders: that adopting AI development tools means accepting a fragmented, ungoverned environment in which different agents operate on different assumptions about the systems they are modifying.
OutSystems expects to open an early access programme to customers in the second quarter of 2026.
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Early Results From the Field
Several early implementations offer a preliminary measure of the approach’s impact.
SRS Distribution, part of The Home Depot group, reports accelerating application development by up to 50 percent using Mentor — delivering projects in weeks rather than months. A time-tracking application moved from concept to production in two weeks. Mentor handled 60 percent of front-end development with minimal refactoring required. “With Mentor, we can build a front-end and initial business logic to show a stakeholder in just a few days, whereas before it would take weeks,” said Mattheus Benitez, Technical Team Lead at SRS Distribution.
Kent State University, one of Ohio’s largest public institutions, plans to use Mentor to eliminate manual codebase navigation across its eight-campus system — reducing ticket resolution times from hours to minutes while keeping automated actions within strict security guardrails.
Valantic, a global IT services provider, is using Agentic Systems Engineering to eliminate the blank-slate phase of enterprise projects, allowing developers to focus on architecture and business logic while Mentor handles repetitive coding, documentation, and proof-of-concept generation.
AllianceCorp Manufacturing is deploying Mentor as its primary AI development partner across semiconductor and e-mobility applications, including a use case that extracts data from two-dimensional CAD drawings using an AI agent — with Mentor documenting every step and relationship clearly enough to onboard new developers into the project without friction.
The early access programme opening in the second quarter will determine how broadly these results translate across the wider enterprise customer base.
