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.
Frequently Asked Questions
You can learn about an AI-native approach to engineering, governing, orchestrating, and evolving agentic systems. You'll also see how it can extend your unique enterprise architecture and help you build your agentic future.
An agentic system consists of applications and autonomous agents that understand dynamic enterprise context—including workflows, dependencies, and permissions—to function reliably and autonomously within a business ecosystem.
Agentic Systems Engineering (ASE) is a new AI-native approach to enterprise AI development based on context, governance, and openness. ASE extends your unique enterprise architecture to AI-generated agents and applications, so they can safely be deployed in complex enterprise environments.
Transparency is critical because it provides enterprises what they need to trust the autonomous actions taken by agents. Finding the right solution that provides built-in real-time observability, versioned and auditable actions, and decision traces that allow humans to review, refine, and feel confident in agent actions is imperative for building and scaling agentic systems in the enterprise.
Yes, OutSystems provides a unified and open platform designed to help organizations build, orchestrate, and govern agentic systems for the enterprise.