Dawiso AI Context Layer

The second major feature group is MCP Integration and the Governance framework. Dawiso provides a dedicated MCP Server that implements the Model Context Protocol, an open standard for connecting AI agents and LLMs with external tools and data. Through this single integration, any AI model—whether Claude, Copilot, or custom agents—can query the governed context in real time. Every business term, lineage path, and access rule is available to the AI agent, so answers are grounded in verified knowledge. On the governance side, Dawiso includes approval workflows, stewardship roles, and quality checks for managing business definitions. This human-in-the-loop approach ensures that AI generates context, but domain experts review and approve it before it goes live. The combination provides both speed and control, enabling AI adoption without sacrificing compliance.

Third feature group includes the Data & Analytics Catalog, Business Glossary, and Unstructured Data Governance. The Data Catalog automatically discovers assets across 40+ connectors, mapping dependencies and building a centralized inventory. The Business Glossary standardizes business definitions so everyone—from analysts to executives—interprets terms consistently. Unstructured Data Governance extends the platform to cover documents, PDFs, and other non-tabular data, bringing them under the same governance umbrella. Additionally, Interactive Data Lineage provides visual maps of how data moves and transforms across systems. These capabilities together create a comprehensive metadata environment that supports both structured and unstructured data. All of this is available through an intuitive interface designed for both technical and business users, with no coding required for day-to-day use.

The overall workflow follows a three-step process: scan, generate context, and connect AI agents. First, Dawiso scans your data landscape by connecting to 40+ data platforms, automatically discovering assets and building a catalog. Second, AI enrichment generates business descriptions, maps relationships, and traces lineage, turning raw metadata into governed knowledge. This step also includes human-in-the-loop review through governance workflows. Third, the MCP Server connects any AI agent or LLM to this governed context, allowing real-time querying of business terms, lineage, and metadata. Most teams deploy a working catalog and glossary within a day, and the full context layer with AI enrichment and MCP connectivity is typically live in one to two weeks. This fast time-to-value is a key differentiator for organizations that cannot afford year-long implementations.

Concrete use cases include consistent financial reporting, where Dawiso ensures that every report uses the same definitions for revenue, expense, and profit across departments, eliminating discrepancies. In banking and financial services, the platform provides governance built for regulated data, enabling firms to pass audits with confidence. Another use case is shared understanding: by centralizing business terms in a glossary, teams from marketing, sales, and finance all interpret 'customer lifetime value' identically. For AI governance, Dawiso helps manage AI responsibly with tools for compliance oversight, ensuring that agents only access approved data. Outcomes include faster report generation, reduced risk of regulatory fines, and greater trust in AI-generated insights. Users report that the platform streamlines compliance and provides transparency into data maze.

Target users include data leaders, data engineers, business analysts, domain experts, and compliance officers across industries such as banking, manufacturing, public sector, and energy. The platform integrates with any LLM via MCP and supports enterprise deployment with SOC 2 Type II certification, ISO 27001, and ISO 27018. Pricing is positioned as 50%+ cost savings compared to legacy data governance vendors, offering full features at a fair price. Dawiso is designed for organizations that need AI-ready metadata without a six-month implementation. Whether you are a bank needing consistent financial reporting or a manufacturer connecting operational data, the AI Context Layer delivers a single governed context that makes AI agents trustworthy. The takeaway is clear: with Dawiso, enterprises can stop AI hallucinations and start getting trusted answers.