Enterprise AI agents keep creating data silos. Microsoft's Build answer is Microsoft IQ and Rayfin.

2026-06-03 · Source: VentureBeat · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Cloud Computing & IT Infrastructure · Depth: Intermediate, quick

Summary

Microsoft introduced Microsoft IQ and Rayfin at Build 2026 to combat data silos and lack of shared context for enterprise AI agents. The company's response addresses the growing need for robust AI architectures, highlighted by a tripling of hybrid retrieval intent from 10.3% in January to 33.3% in March 2026 among 100-plus employee organizations. Microsoft IQ unifies four context sources—Work IQ, Foundry IQ, Fabric IQ, and Web IQ—into a single foundation, providing agents with comprehensive understanding of organizational operations, institutional knowledge, live business data, and real-time global signals. Concurrently, Rayfin, an open-source SDK and CLI, ensures agent-built applications deploy directly to Fabric, routing data into Microsoft OneLake and feeding back into the Microsoft IQ context layer, thereby preventing new data silos and enhancing governance. This strategy aims to create "highly informed virtual employees" by integrating agent-generated data and context.

Key takeaway

For AI Architects evaluating enterprise agent deployments, Microsoft's IQ and Rayfin offerings address critical challenges in context and data governance. You should prioritize solutions that unify diverse context sources and provide governed deployment paths for agent-built applications. This approach prevents data silos. It also ensures your AI agents operate with a comprehensive, real-time understanding of your business, strengthening trust and simplifying execution.

Key insights

Enterprise AI agents require unified context and governed data integration to prevent silos and enhance operational intelligence.

Principles

• Shared business context is critical for agent efficacy.
• Governed deployment prevents data silo proliferation.
• Bidirectional data flow enriches agent knowledge.

Method

Microsoft IQ unifies four context sources (Work, Foundry, Fabric, Web IQ) for agents. Rayfin SDK/CLI deploys agent apps to Fabric, routing data to OneLake and back to IQ.

In practice

• Integrate agent context layers for holistic understanding.
• Use governed backends for agent-built applications.
• Establish bidirectional data flow for continuous ontology enrichment.

Topics

• Enterprise AI Agents
• Data Governance
• Microsoft Fabric
• Microsoft IQ
• Rayfin SDK
• Context Layers

Best for: CTO, VP of Engineering/Data, AI Product Manager, AI Architect, Director of AI/ML, Data Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by VentureBeat.