Teaching Copilot Your Business Language: A Hands-On Look at the Dataverse Semantic Model

Microsoft introduced the Dataverse semantic model as a solution to bridge the gap between a business's language and how AI agents interpret schema names. The model is in public preview and serves as a layer connecting raw Dataverse data to AI experiences, providing a business-aware understanding of tables based on system-inferred signals, semantic indexing, and a human-curated glossary. Users benefit from improved accuracy, faster responses, and a single consistent understanding across multiple AI agents by leveraging the semantic model. The setup requires admin access to configure Dataverse Intelligence settings in both the Microsoft 365 Admin Center and Power Platform Admin Center. Though the feature is currently limited to the pre-loaded SalesQnA model and lacks custom model creation and ALM support, it offers significant potential for businesses. The semantic model respects Dataverse security roles and enables more efficient and accurate interpretations of data queries, aiming to replace the manual configuration of vocabulary per agent with centralized management.

Article 5w Microsoft Dynamics 365 CRM Tips and Tricks

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