Bonnard
DocsChangelogAboutPricingSign in
Blog

From the Bonnard team

What Is an Agentic Semantic Layer?

An agentic semantic layer is a metrics layer built for AI agents. It defines business logic once and exposes it via MCP or API so agents query governed definitions, not raw SQL.

5 min read//2026-03-16

Why Your AI Agents Need a Semantic Layer

AI agents querying raw SQL produce inconsistent, ungoverned results. A semantic layer fixes that. Here's what goes wrong without one, and how metrics-as-code changes the architecture.

9 min read//2026-03-16

How to Connect an AI Agent to Your Data Warehouse

Define metrics in YAML, expose them via MCP, and let AI agents query governed data instead of raw SQL. Full tutorial with Bonnard in under 30 minutes.

9 min read//2026-03-13
Product
  • Pricing
  • Changelog
Developers
  • Documentation
  • GitHub
  • Discord
Learn
  • Agentic Analytics
  • What is a Semantic Layer?
  • Glossary
  • Blog
Compare
  • vs Metabase
  • vs Cube
  • vs Looker
  • vs Tableau
  • vs dbt Metrics
  • Cube vs dbt
Integrations
  • Snowflake
  • BigQuery
  • PostgreSQL
  • Databricks
  • Redshift
  • ClickHouse
  • DuckDB
Company
  • About
  • Terms
  • Privacy
  • DPA
© 2026 Bonnard Ltd//GDPRCCPA
© 2026 Bonnard Ltd
GDPRCCPA