Agentic AI amplifies whatever data it's given—including bad data, at scale. A semantic layer defines what data means, but without deterministic calculation, agents are left to guess. An in-memory engine combining semantic context with governed calculations gives agents trusted, auditable answers while cutting compute costs. We'll compare AI outputs with and without this foundation on a real question—and show how it impacts business decisions.