ARCHITECTURE Signal 83
Integrating DMN decision models with LLMs, agent skills, and NeMo guardrails creates auditable deterministic agentic architectures
↗
Alex Porcelli presents how combining DMN decision models with LLMs, agent skills, and NeMo guardrails addresses non-deterministic output and lack of accountability in enterprise AI, enabling auditable and deterministic agentic architectures.
For engineers building agentic systems, this approach offers a way to enforce deterministic outcomes and auditability in high-stakes decisions, bridging the gap between LLM flexibility and business rules. It suggests a pattern where business logic is owned by decision models while engineers maintain governance, potentially reducing the risk of unpredictable AI behavior in production.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
DMN decision models are integrated with LLMs, agent skills, and NeMo guardrails to create auditable, deterministic agentic architectures.
The approach addresses the enterprise AI gap of non-deterministic output and lack of accountability in high-stakes decisions.
Business leaders can own decision logic while engineers maintain architectural governance.
THE CLUSTER