The original title is a question: "What Is an Agentic Semantic Layer?"

Short summary

An agentic semantic layer sits between AI agents and data warehouses, defining business metrics once and exposing them via protocols like MCP or REST APIs. This solves three production problems with raw text-to-SQL: inconsistent answers across models, no access control for multi-tenant scenarios, and no audit trail. Traditional BI semantic layers (LookML, DAX) can't serve programmatic consumers effectively.

• •Agentic semantic layer governs metric definitions, access control, and query interfaces for AI agents
• •Solves text-to-SQL failures: inconsistent answers, no tenant isolation, no audit trail
• •Traditional BI semantic layers (Looker, Tableau, Power BI) lack programmatic interfaces agents need

Generated with AI, which can make mistakes.