Power your AI Agents with Enterprise Context Layer
How does it work
Context Management for your AI agents
to value
solution
Check out the key features
AI-Generated Context
AI automatically generates business-ready descriptions for your data assets. Skip manual documentation and feed your AI agents in hours, not months.
Intelligent Relationship Mapping
Automatically discover how your data connects. Dawiso creates maps between business terms through auto-linking and generates data lineage automatically, revealing relationships and dependencies across your entire data landscape without manual effort.
Proven Governance Framework
Get an already established governance methodology for managing your knowledge. This ensures high-quality business definitions, consistent standards, and a trusted context that AI agents can rely on.
Business Process Modeling
Enrich your context layer with business process models. Map how data flows through business operations, connecting technical assets to real-world workflows, giving AI agents the business context they need to deliver relevant answers.
Unified Structured and Unstructured Data Governance
Govern all your data, from databases to documents, in one place. Apply consistent governance, context, and access controls across structured data (tables, warehouses) and unstructured data (PDFs, documents...), ensuring AI agents have a complete, governed context.
Dawiso Model Context Protocol (MCP) Integration
Connect AI agents directly to your context layer. Through MCP, conversational AI and intelligent agents can dynamically query your governed data context, business terms, and lineage. Thanks to this, every AI interaction is grounded in trusted knowledge.
Team-Powered Context Building
Democratize context creation across your organization. Data engineers, analysts, business users, and domain experts all contribute to enriching the context layer.