AI - Jannik Reinhard

Microsoft IQ Explained: Making Enterprise AI Agents Work

26. November 202522. June 2026 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 Microsoft 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 Microsoft IQ actually means for you.

AI-Driven Endpoint Management: The Future with Intune

25. May 202522. June 2026 jannikreinhard

Endpoint management has come a long way from the days of manual, on-premises processes. In today’s world where employees work from home, on the road, or in branch offices, IT teams need tools that are not only powerful but also flexible and intelligent. Microsoft’s journey from Configuration Manager (SCCM) to Intune, and now toward AI-driven automation, shows how we can bridge legacy systems with cloud innovation to deliver seamless, secure, and proactive device management.

Laptop showing cloud device management dashboard

Become a Prompt Engineering Pro: Mastering the Art of Talking to AI in 2025

30. November 202422. June 2026 jannikreinhard

To become a Prompt Engineering Pro in 2025 you have to master more than tricks — you have to master the art of talking to AI in a way that produces consistent results, especially when it comes to designing AI Conversations that scale. This post walks through the patterns that have worked for me across hundreds of agents, prompts, and AI conversations, and the structures every Prompt Engineering Pro now applies by default.

Welcome to the future, where chatting with AI is as common as texting a friend! But just like crafting the perfect message to your crush, getting the right response from AI requires a bit of finesse. Enter the world of prompt engineering — and the mindset of a true Prompt Engineering Pro.

Azure AI Search: Deploying a Powerful AI-Powered Search Engine

Azure AI Search: Build a Powerful AI Search Engine

25. August 202422. June 2026 jannikreinhard

Azure AI Search: Build a Powerful AI Search Engine is the practical goal of this article: turning enterprise content into a searchable, ranked, and AI-ready knowledge layer with Microsoft Azure AI Search.

This post is a hands-on guide to Build a Powerful AI Search Engine with Azure AI Search. From configuring the indexer to setting up semantic ranking and vector search, the workflow here is the same one I use to build production-grade AI search for real workloads.

The Azure AI search is one of the most powerful search engines at least in my experience. In times of AI and LLMs, the previously boring technology of search engines is now experiencing a new hype. In this blog post, I’ll guide you through deploying and configuring Azure AI Search, and show how it can transform your data into a highly searchable, AI-enhanced resource.

How to create a custom SSO Teams bot

7. July 202422. June 2026 jannikreinhard

As GPT and other large language models revolutionize the way we communicate and how we can build custom solutions for companies, the demand for intuitive frontends to deliver these AI capabilities to end-users has never been higher. If you’re wondering whether there’s a seamless way to integrate a bot into Microsoft Teams, you’re in luck! In this blog, I’ll guide you through the process of building a custom SSO Teams bot tailored for Microsoft Teams and the bot framework from Microsoft, so you can ship a custom SSO Teams bot that calls Azure OpenAI with confidence.

Microsoft Copilot for Security: Getting Started Guide

1. May 202422. June 2026 jannikreinhard1 Comment

This was a no-brainer for me — I had to write a blog about Microsoft Copilot for Security. You know I like AI and I like Intune. What is better if I can blog in one post about both. I was already part of the closed preview, and I am a very big fan of this product and the potential behind it. In this blog post I will write about everything you have to know and how you can start.

Build a No-Code Intune Copilot in Azure OpenAI Studio

3. March 202422. June 2026 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.

How Copilots Work: LLM Architecture, Grounding, and Intune

11. December 202322. June 2026 jannikreinhard23 Comments

In this blog post I want to deep dive with you into how LLMs and co-pilots work, give explanations of the most important aspects, and show you some important architecture concepts behind modern co-pilots. We will not build our own co-pilots, but I will also share some reference architectures for building co-pilots and a tool I created to answer your questions with information from your own Intune tenant. Let me know if I should also create a second blog post to walk you step by step through the process of implementing your own bot, which uses your own data and an LLM model to help you in your daily business working with Intune.

Copilot and LLM architecture concept diagram

GPT Intune Device Troubleshooter: AI-Powered Admin Help

10. September 202322. June 2026 jannikreinhard22 Comments

I am more than happy to release my new tool the GPT Intune Device Troubleshooter. Wouldn’t it be awesome if you had an assistant to whom you could explain what you want to do in Intune, and they would do the job for you? This dream will now become reality with the GPT Intune Device Troubleshooter. If you enjoy my other Intune automation projects on my blog, you will love how this assistant fits right into your daily workflow.

Detect anomalies in your Intune environment with Azure Cognitive Services – Part 3 Bluescreen of death detection

3. August 202223. June 2026 jannikreinhard1 Comment

Welcome to the third part of my series in which I describe ways to get proactive notifications when something in your environment has a problem / error. So that this monitoring does not work with static values, I use Azure Cognitive Services (now Azure AI Services) to detect anomalies via machine learning. In this blog we will take a look at the Endpoint Analytics Startup performance bluescreen detection. The goal is to detect anomalies automatically, so we are notified when an unusual number of devices report a blue screen or problem during detection. You can read more about anomaly detection on Microsoft Learn.

Microsoft Intune & AI Insights

AI — Articles by Jannik Reinhard