Trustworthy, Explainable, and Accountable: How to Give AI Autonomy Without Letting It Run Wild
Salesforce Agentforce splits agent reasoning into probabilistic LLM and deterministic business logic layers
“Agentforce splits the agent brain into two layers. The first is a generative layer, the LLM, that does all of the language and reasoning. The second is a deterministic layer.”— Salesforce
Salesforce's Principal Architect of Ethical AI Practice explains how Agentforce routes all consequential agent decisions through a deterministic layer (Agent Fabric, Flow, Apex) rather than letting LLMs decide independently. This dual-layer architecture — probabilistic reasoning up front, deterministic policy enforcement for actions — represents Salesforce's answer to enterprise trust and accountability requirements for agentic AI. The approach is notable as a concrete architectural pattern other enterprises may adopt to safely deploy autonomous agents.