How Microsoft Dataverse Empowers Agentic AI with Real-Time Enterprise Data Integration and Intelligent Workflows

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Microsoft’s Dataverse platform is revolutionizing agentic AI by seamlessly integrating enterprise data, models, and tools to empower intelligent agents. With innovations like the Model Context Protocol (MCP) server and Copilot Studio, Dataverse enables businesses to build AI agents that transform workflows with enhanced knowledge and real-time insights. Unique :

Dataverse at Build: The Future of Agentic AI

Microsoft’s Dataverse is stepping up as the ultimate agent platform for agentic AI. At Build 2025, Microsoft revealed powerful updates that make Dataverse a key player in transforming enterprise AI experiences.

What’s New with Dataverse?

Dataverse now acts as a secure, scalable platform that integrates enterprise data with AI agents. It powers complex business tasks by combining models, tools, and orchestration in one place. The platform supports seamless connectivity across your entire data estate, handling data of any shape or size.

One major highlight is the Model Context Protocol (MCP) server. This open protocol standardizes how apps provide context to large language models (LLMs), making MCP the “USB-C port” for AI apps. Microsoft is also certifying MCP servers to ensure enterprise-grade security, including authentication and data loss prevention.

“Dataverse MCP server is the backbone for teams of agents, indexing knowledge for context and powering AI actions.”

Major Updates to Agent Integration

The Common Knowledge Graph in Copilot Studio connects agents to enterprise systems via enhanced connectors. This simplifies retrieval-augmented generation (RAG), letting makers focus on building agents instead of wrestling with data indexing.

Additionally, the new Document Processor agent automates document workflows by extracting and storing data in Dataverse. For example, it can process inbound emails and share context across all agents.

Microsoft also partnered with Litera and DocuSign to build MCP connectivity for specialized workflows, like law firm intelligence and intelligent agreement management.

Why This Matters to Tech Pros

Dataverse’s enhancements mean AI agents can now work smarter and faster with real-time, contextual knowledge. The platform supports natural language queries, personalized semantic search, and seamless integration with business apps.

Moreover, new Power Platform connectors, including an enhanced Databricks connector, ground agents in structured enterprise data. This improves response accuracy and execution speed.

“Power Platform connectors ground agents in your enterprise knowledge, resulting in more accurate, context relevant responses.”

Building Next-Gen Agents

With the self-service Developer SDK, makers can create custom connectors and tools to extend agent capabilities. Copilot Studio offers a one-stop shop for building agents with prompts, flows, and integrations.

In short, Dataverse is evolving into the AI agent platform that enterprises need to unlock the full potential of their data and AI investments.

  • Dataverse MCP server acts as a unified database, enabling teams of AI agents to access indexed knowledge and perform AI-driven business actions.
  • The Common Knowledge Graph in Copilot Studio simplifies data integration, allowing makers to build agents grounded in enterprise knowledge efficiently.
  • Out-of-the-box Document Processor agents automate workflows by extracting and storing information directly into Dataverse for shared agent context.
  • Enhanced Power Platform connectors, including new Databricks integration, improve agent accuracy and execution speed by structuring enterprise data.
  • Microsoft partners like Litera and DocuSign leverage MCP servers to create specialized AI workflows for legal and agreement management scenarios.
  • From the Microsoft Power Platform Blog



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