Consistency is the floor. Accountability goes further.
Building AI for high-stakes, regulated environments?
Prompt logs & model versions aren’t enough. True auditability requires explaining why an input produced an output - and tracing it directly to policy.
🎬 Watch Alex Porcelli’s full talk on #InfoQ - https://www.infoq.com/presentations/decision-models-agentic-ai/
Alex Porcelli discusses the critical gap in enterprise AI: non-deterministic output and lack of accountability in high-stakes decisions. He shares how integrating DMN decision models with LLMs, agent skills, and NeMo guardrails creates auditable, deterministic agentic architectures - allowing business leaders to own decision logic while engineers maintain robust architectural governance.
www.infoq.com
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