Three ways to connect an AI agent to your business data | The Databao Blog

Connecting an AI agent to business data can be approached in three main ways, each with its own trade-offs between speed and reliability. Direct access allows fast setup but requires constant verification due to its reliance on the agent's ability to interpret data correctly. Building a formal semantic layer offers reliability by using predefined metrics for queries, but it requires significant time and effort to establish and maintain. An automated semantic layer seeks a balance by generating metrics from existing data projects and incorporating human review, allowing for scalable usage without sacrificing consistency. The choice of method depends on a business's current needs, with speed being more critical during exploration and consistency becoming paramount as usage scales. Databao offers a solution by integrating automated semantic layer generation with human validation, aiming to provide trusted self-service analytics for business users.