Architecting the AI Bridge: Integrating LLMs and DMN With Drools, Spring Boot, and the MCP Protocol
summary
Architecture that pairs LLMs with executable decision models and a rule engine, demonstrating a live Spring Boot MCP server that serves Drools DMN via MCP, a decision catalog with input/output schemas, and immediate deployments that change behavior without retraining. Demo scenarios include a no-bed cancer case and a stroke case where a newly edited boolean rule triggers “ambulance dispatched.” Claim: hybrid system adds deterministic, auditable decisions to probabilistic LLM outputs and integrates via REST/Java APIs so changes take effect instantly.
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chapters (9)
- 0:00AI bridge concept
- 3:16Limitations of standalone LLM models
- 7:28Hybrid AI: symbolic + statistical
- 10:18What is DMN and its business-friendly design
- 14:17MCP protocol for LLM-DMN
- 19:37Spring Boot + DMN setup
- 21:07Healthcare emergency scenario
- 26:46Business rules in AI models
- 28:30Key takeaways and future
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