How Agents Schema brings trusted business context to AI

Fivetran and dbt Labs have introduced the Agents Schema, an open standard designed to provide AI agents with reliable business context by leveraging an Open Data Infrastructure. This infrastructure is built on open standards that ensure data is portable, reusable, and governed across various tools and environments, eliminating the need for multiple data copies that can lead to inconsistencies. The Agents Schema acts as a shared context layer within a data warehouse or lake, offering AI agents access to consistent metric definitions, semantic models, and business logic documented in plain SQL tables. This approach allows agents to query trusted information before executing tasks, ensuring they operate with the same business logic as human analysts. Fivetran facilitates reliable data movement into open data lakes with formats like Apache Iceberg and Delta Lake, while dbt provides the semantic and transformation capabilities needed to define and maintain business metrics and logic consistently. Together, these solutions empower organizations to extend openness beyond data storage, enabling AI systems to work from a unified and accurate business context.

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