Agentic engineering in practice—an introduction to Agentic Systems Engineering
The new way to build, orchestrate, and govern agentic systems for the enterprise
Moving beyond AI sprawl to governed agentic systems
Enterprise AI initiatives are hitting a structural limit. There’s a widening gap between the tools used for code generation and enterprise scale and complexity. While 94% of IT leaders express concern over AI sprawl, only 12% have centralized governance across their AI systems.
Agentic engineering can help, but it requires a radically different way of closing the gap between MVP and production.
Why the context gap creates friction
Traditional AI coding tools support development, but they lack awareness of enterprise architecture, governance rules, and embedded business logic. In practice, this creates a fundamental breakdown that makes it difficult to support agentic AI engineering.
Organizations need a fresh approach to help them reliably move from experimentation to scaled production.
OutSystems introduces Agentic Systems Engineering for architecting, delivering, and scaling governed agentic systems
Agentic Systems Engineering (ASE) is a new approach to enterprise AI development that enables teams to build natively with OutSystems or their preferred agentic coding tool. Then orchestrate and govern it in one unified platform with the dynamic context and guardrails agents need to work effectively and safely.
- Open and unified: Support for the tools your team is already using—like Claude Code, Cursor, and Codex—while orchestrating and governing agentic systems on a single, versioned platform.
- Dynamic context: Agents have full architectural awareness of every entity and integration.
- Governed and secure: Built-in guardrails and human-in-the-loop oversight at every layer of development.
Download this introduction to Agentic Systems Engineering to learn:
- How Agentic Systems Engineering provides a governed, open architectural layer to build production-ready AI agents.
- Why ASE provides the missing link that that gives AI essential business context.
- Practical insights and a checklist to begin adopting ASE immediately.