CoPilot — Articles by Jannik Reinhard

Microsoft IQ Explained: Making Enterprise AI Agents Work

Microsoft IQ Explained: Making Enterprise AI Agents Work

jannikreinhard

This post is a practical explanation of Microsoft IQ — the intelligence layer that finally makes enterprise AI agents work in production. I cover what IQ is, where it sits in the Microsoft AI stack, and how it changes the way IT admins design and deploy AI agents grounded in tenant data.

How Microsoft IQ Makes Enterprise AI Agents Work

Diagram of Microsoft IQ intelligence layer for AI agents

Let’s be honest: building AI agents in the enterprise has been a mess. You spend 80% of your time stitching together data sources, wrestling with RAG pipelines, and praying your agent doesn’t hallucinate the CEO’s name. Every new project feels like reinventing the wheel – but a wheel made of duct tape and hopes.

At Ignite 2025, Microsoft dropped something that might actually change this. They call it “IQ” – a unified intelligence layer that spans across Microsoft 365, Fabric, and Microsoft Foundry. And no, it’s not just another buzzword. If you’ve been experimenting with smaller Foundry use cases, like a paperless-office document manager, this is the enterprise-scale version of that same idea. Let me break down what this actually means for you.

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Build a No-Code Intune Copilot in Azure OpenAI Studio

Build a No-Code Intune Copilot in Azure OpenAI Studio

jannikreinhard

This post walks you through how to build a no-code Intune Copilot in Azure OpenAI Studio — using only the Azure portal, your Intune tenant, and a Microsoft Graph app registration. By the end you will have a working chat interface grounded on Intune device data, deployable to Teams or as a custom web app.

The simplest approach to deploying a chatbot is to do so without any coding. If you want to take this idea further into a more advanced agent scenario, you can also check out how to build a Microsoft Intune AI Agent with Foundry. This is precisely what I aim to demonstrate. Such a chatbot can be tailored to utilize your custom documentation, knowledge articles, or any other resources you wish to integrate. This method simplifies the process, making it accessible even if you’re not well-versed in programming. By leveraging existing documents and knowledge bases, you can create a chatbot that is both informative and aligned with your specific needs and content.

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