At Ignite 2025, Microsoft introduced a three-part intelligence layer for enterprise AI: Work IQ, Fabric IQ, and Foundry IQ. Work IQ gives Copilot and agents context about how you work, Fabric IQ gives them meaning around business data, and Foundry IQ grounds them across knowledge sources. Together they help AI agents act with real context. This guide explains what each one does and why it matters.
Work IQ, along with Fabric IQ and Foundry IQ, is Microsoft’s answer to a problem every enterprise hit with AI: agents that do not understand the business they operate in. Announced at Ignite 2025, these three layers form a shared intelligence foundation that gives Copilot and AI agents real context, meaning, and knowledge.
The problem they solve is concrete. Large language models on their own do not know how your organization works, what your data means, or where to find reliable answers. That gap is why so many AI projects stall. Microsoft’s IQ layers are designed to close it, so agents can act with genuine business context.
This guide keeps it clear. You will learn what Work IQ, Fabric IQ, and Foundry IQ each do, how they fit together, and why they matter for enterprises. No deep AI background is needed.
What Are the IQ Intelligence Layers?
The IQ layers are three connected components, Work IQ, Fabric IQ, and Foundry IQ, that together form a shared intelligence foundation for Microsoft’s AI. Rather than three separate products, they are three facets of one architectural idea: giving AI agents a shared understanding of your work, your data, and your knowledge, in a governed way.
Microsoft framed this within its concept of the “Frontier Firm”, organizations that have moved beyond AI experiments to embed intelligence throughout their processes. The layers address what Microsoft calls for the context gap, the inability of previous AI tools to maintain a persistent understanding of a user’s professional environment, and work patterns.
Each layer handles a different domain: work context, business data, and enterprise knowledge. As one analysis puts it, they aim to build one shared semantic foundation, so agents understand what you are doing and what your data means. This matters for anyone building AI agents in Microsoft 365.
What Is Work IQ?
Work IQ is the intelligence layer that gives Microsoft 365 Copilot and agents context about how you work, who you work with, and the content you collaborate on. It draws on the information flowing through your organization every day, including emails, files, meetings, and chats, plus your habits, preferences, and relationships.
In Microsoft’s words, Work IQ amplifies your IQ, enabling Copilot and agents to know how you work and with whom. It is built on your data, memory, and inference, sitting on top of the Microsoft Graph. The practical effect is that Copilot gives more contextual, relevant responses, anticipates needs, and suggests better actions, because it understands your working environment rather than treating every request in isolation.
Work IQ powers many of the Copilot updates Microsoft announced at Ignite, and Microsoft 365 apps like Teams, Outlook, and Word all draw on it. For an enterprise, this is what makes Copilot feel like it actually knows the organization.
What Are Fabric IQ and Foundry IQ?
Fabric IQ gives AI agents meaning around business data, while Foundry IQ grounds agents across many knowledge sources. Where Work IQ handles work context, these two handle structured data and enterprise knowledge, completing the picture agents need to make good decisions.
Fabric IQ organizes information around business concepts rather than database tables. It brings together analytical, time-series, and operational data under one shared model tied to business meaning, so agents can reason metrics like revenue or customer churn without understanding the underlying schema.
Helpfully, if you already use Power BI, that existing data modeling work acts as an accelerant, and the same Fabric capacity you already manage for cost increasingly feed these AI workloads. Foundry IQ then takes this further as a fully managed knowledge system that grounds agent over multiple sources, including Microsoft 365, Fabric IQ, custom applications, and the web, through a single endpoint with routing and intelligence built in. Together, Fabric IQ supplies the meaning, and Foundry IQ supplies the reliable knowledge.
How Do the Layers Work Together?
The three layers work together as one shared intelligence foundation, each supplying a different kind of context that agents combine to act intelligently. Work IQ contributes work context, Fabric IQ contributes business-data meaning, and Foundry IQ contributes grounded knowledge. An agent can draw on all three at once.
This combination is the point. On their own, large language models lack context, which is why enterprise AI has been so hard to make reliable. By giving agents, a shared understanding of how you work, what your data means, and where to find trustworthy answers, the IQ layers let agents reason and act with far less risk of getting things wrong.
Microsoft emphasizes that this understanding is delivered in a governed, permissioned way, which matters as organizations scale from a few pilots to many agents. Importantly, the layers build on existing investments in Microsoft 365, Fabric, and Azure AI Foundry rather than replacing them, so prior work becomes an accelerant.
What Should Indian Enterprises Do About It?
Indian enterprises should treat the IQ layers as a reason to get their data and governance in order now, so they are ready to benefit as the capabilities roll out. Several components are in preview or early access, so this is a preparation window rather than a rush to deploy.
A sensible approach has a few steps. First, strengthen data governance and permissions, since these layers of surface data agents can reach, making clean, well-governed data essential. Second, build on existing investments, since Power BI modeling and Microsoft 365 content both accelerate the value of Fabric IQ and Work IQ.
Third, start small with governed agent pilots, learning how the layers fit your environment before scaling. Fourth, plan integration with your existing Azure AI and Microsoft 365 setup. Governance also means controlling agents in production, which is where the Copilot Control System come in.
For a sense of the data foundation this rests on, see how one healthcare provider built an AI-ready Azure foundation as a reusable base for AI initiatives. For a mid-sized enterprise in Bengaluru, the readiness work, clean data, clear permissions, and a governed pilot, is exactly what turns these layers into real value later. Embee Software helps enterprises prepare through our Azure cloud services and Microsoft 365 practices.
Conclusion
Work IQ, Fabric IQ, and Foundry IQ are Microsoft’s three-part intelligence layer for enterprise AI, introduced at Ignite 2025. Work IQ supplies work context, Fabric IQ supplies business data meaning, and Foundry IQ supplies grounded knowledge. Together they aim to make AI agents context-aware, business-savvy, and governable at scale.
The layers build on your existing Microsoft investments, so the smart move is to get your data and governance ready now. As a Microsoft Frontier Partner, Embee Software helps Indian enterprises prepare their data foundation and adopt Microsoft’s AI capabilities with the right governance. Book a free AI readiness consultation with our team to get started.
Key Takeaways
- Microsoft introduced Work IQ, Fabric IQ, and Foundry IQ at Ignite 2025 as an intelligence layer.
- Work IQ gives Copilot and agents context about how people work and collaborate.
- Fabric IQ gives agents meaning around business data, tied to business concepts.
- Foundry IQ grounds agents across multiple knowledge sources through one endpoint.
- Together they aim to make AI agents context-aware, business-savvy, and governable.
- The layers build on existing Microsoft 365, Fabric, and Foundry investments.
