Dawiso AI Context Layer – Connecting AI agents to governed metadata via MCP

Summary: Dawiso AI Context Layer transforms data catalogs into a semantic framework by defining meaning, ownership, access, and relationships. It automatically generates context through metadata scanning and AI enrichment, with human-in-the-loop governance, enabling AI agents connected via MCP to deliver accurate, context-aware responses.

What it does

It converts metadata into structured context for AI by scanning and enriching data catalogs, then shares this context with AI agents through MCP. Human oversight maintains relevance and trustworthiness.

Who it's for

Teams integrating AI and large language models with enterprise data to improve response accuracy and consistency.

Why it matters

It addresses AI failures caused by lack of context, ensuring AI delivers precise answers tailored to users and data governance.