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InfoQ · September 14, 2026

Presentation: Decision Models in Agentic Architectures: From Production to Agent Skills

Computer ScienceInformation Systems
THE AI ANGLE
Managing ambiguous, conversational data intake within an agentic architecture

Alex Porcelli outlines the enterprise challenge of non-deterministic outputs and missing accountability when applying AI to high-stakes, regulated decisions. He demonstrates how integrating deterministic DMN decision models with LLMs, agent skills, and NeMo guardrails creates auditable agentic architectures. This architecture illustrates to instructors how modern enterprise systems must balance flexible generative interactions with rigorous architectural governance and rule-based compliance.

THE TEACHING ANGLE
Students can evaluate the architectural trade-offs between deploying non-deterministic LLM agents and enforcing deterministic, auditable decision rules in regulated enterprise settings.

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