SAFE is the systematic methodology for grounding enterprise AI in explicit semantic structure. Rather than fine-tuning models on unstructured text, SAFE anchors AI behavior to validated schema: typed entities, governed vocabularies, and provenance-bearing relationships.
This makes AI output auditable, portable across systems, and safe to operate at enterprise scale.