Blog
Insights for the metrics-driven enterprise
Perspectives on metric governance, semantic layers, and building trust between AI agents and your data.
The Context Gap: Why Warehouses and Semantic Layers Aren't Enough
Your warehouse computes numbers. Your semantic layer queries them. But who governs what metrics mean? Meet the context layer — the missing third layer.
What ClariLayer Does (And What It Does Not)
ClariLayer is not a warehouse, not a semantic layer, and not a wiki. It is the context layer — the missing piece that captures meaning, ownership, and trust for business metrics.
Why AI Agents Need a Context Layer
AI agents are making autonomous decisions based on metric definitions. But no tool captures the business context they need to act responsibly. This is the context layer gap.
Why Your Metrics Need a Context Layer
Data warehouses tell you how a number is computed. But your AI agents need to know what it means, who owns it, and whether they should trust it.