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The Model Context Protocol (MCP) is Aletyx’s framework for combining traditional business automation — rules and processes — with advanced AI models like Claude. Deterministic business logic governs the decision; the LLM handles the language and context. You get the best of both worlds: AI flexibility with auditable, business-owned outcomes.

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Why rules and processes still matter in the AI era

Business rules and process automation remain superior for core enterprise needs:
  • Deterministic execution — identical inputs always produce identical outputs.
  • Microsecond-level speed at high volume.
  • Full auditability — every outcome records which rules fired and why.
  • Business ownership — analysts own the logic, not a black-box model.
MCP lets you keep these guarantees while still leveraging AI where it adds value.

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How MCP works

MCP is an orchestration framework with bidirectional communication between rules engines, process automation, and AI services. It spans three layers:

Decision layer

Deterministic logic in Drools and DMN.

Process layer

Orchestration with Kogito.

AI integration layer

Standardized connectors and prompt management for LLMs.
Its core components include a Rule-Governed AI Gateway, a Context Provider, a Prompt Management System, a Response Processor, and an Integration Framework.

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Real-world applications

  • Dynamic customer service processes that adapt to the conversation while staying within policy.
  • Compliant document processing with full auditability.
  • Intelligent underwriting that pairs AI assessment with governed decision rules.

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Next steps

Connecting DMN to LLMs with MCP

How DMN models are exposed to LLMs automatically.

Decisions guide

Author, test, and deploy decision models.

Decision Control

Enterprise governance for AI-integrated decisions.