Research2h ago
LOM-Action Uses Graph Simulation For Auditable AI
The LOM-action framework prevents ungrounded AI decisions by simulating business scenarios within an isolated sandbox. It uses an enterprise ontology to trigger deterministic graph mutations, creating a scenario-valid simulation graph. This ensures all outputs derive exclusively from a traceable subgraph. Practitioners gain a verifiable audit trail for enterprise agent workflows, reducing hallucination risks.