The semantic layer, historically embedded in business intelligence tools, is becoming central to enterprise analytics as AI agents begin querying enterprise data directly. Without governed definitions, agents can produce answers that are consistent in execution but inconsistent in meaning. That arrangement worked as long as a person sat at the end of every query. A human analyst carried the institutional knowledge to pick the right definition and catch a number that looked wrong.