Bringing AI into your enterprise is no longer just about innovation—it’s about control, safety, and scale.
At Aletyx, we’re the first to offer automatic integration between DMN (Decision Model and Notation) and LLMs (Large Language Models) through the Model Context Protocol (MCP)—with zero custom code required.
This powerful capability is built into the Aletyx Enterprise Build of Drools and enables your decision logic to be AI-ready out of the box.
What This Means for You
Whether you’re a developer, architect, or CTO, here’s what you gain:
- Plug-and-play GenAI integration with your decision models
- No hallucinations, no fine-tuning, no risk
- Full policy enforcement and auditability
Just add the MCP dependency, and your DMNs are automatically exposed as intelligent, policy-compliant AI agents—ready to be used by LLMs.
How It Works
With the Aletyx Enterprise Build of Drools, integrating DMNs with LLMs is as simple as:
- Add the MCP protocol dependency to your project
- Use DMN models as intelligent, context-aware agents
- Let the system handle the rest—zero extra code needed
🛠️ Note: Today, this automatic integration is available for Spring Boot projects. Support for Quarkus is coming!
With Aletyx, your DMN models act as the foundation of trust—bringing structure, control, and policy enforcement into your GenAI.
In other words: DMN provides the guardrails LLMs need to operate safely in your enterprise.
What If You’re Using Open-Source Apache KIE?
You can still integrate DMNs with LLMs using MCP, LangChain, or other frameworks—but you’ll need to do it manually:
- Write your own integration layer
- Handle context mapping and LLM interaction logic
- Maintain and secure it on your own
With Aletyx, you skip all that. It’s already built in.
Ready to See It in Action?
Whether you’re exploring GenAI, modernizing decision services, or looking to scale safely, Aletyx provides the fastest path forward.
👉 Visit aletyx.ai to learn more
👉 Or book a call to see it live
