Microsoft Foundry vs Copilot Studio: Which Agent Platform?

Microsoft Foundry vs Copilot Studio: Which Agent Platform?

Microsoft Foundry vs Copilot Studio: Which Agent Platform?

Many companies want to build AI agents right now, and the first question I get is always the same: Foundry vs Copilot Studio — which one should we use? In this blog post I explain how both platforms work under the hood, compare models, hosting, pricing, and governance, and I am honest about quality — because that is where many Copilot Studio projects struggle. I also explain why, in the age of AI-assisted coding, the “full code” platform Foundry is often the faster way to a working agent. At the end you should know which platform fits your scenario — or if you should use both together.

Note: Azure AI Foundry was renamed to Microsoft Foundry at Ignite 2025, and the new Foundry Agent Service reached general availability on March 16, 2026. In this post I always mean the new Microsoft Foundry.

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Microsoft Build 2026: A Field Guide to the Agentic Stack MS Build

Microsoft Build 2026: A Field Guide to the Agentic Stack

Microsoft Build 2026: A Field Guide to the Agentic Stack

If you have sat through a Microsoft keynote more than once, you know the pattern: a wall of product names, a couple of demos that feel like magic, and then weeks of work figuring out what is actually shipping versus what is a sizzle reel. Microsoft Build 2026 (San Francisco, June 2–3) was the most agent-dense keynote Microsoft has ever given — seven in-house models, a whole context layer, a brand-new category of agent, a containment story that reaches from silicon to cloud, and a concept for hardware that runs agents instead of apps.

This post is the map I wish I’d had on the morning of June 2. I’ll walk every major announcement from Microsoft Build 2026, explain each one the way I’d explain it to a colleague (not the way the press release phrases it), and — because that’s the job most of us actually have — call out what it means for whoever has to deploy, govern and secure this stuff. It is a round-up, not a feature comparison, and I’ll flag clearly what is generally available, what is preview, and what is still just a slide.

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MICROSOFT 365 AGENTS EXPLAINED: WHA AGENTS 365 MEANS

Microsoft Agent 365 vs. Microsoft 365 Agents: A Field Guide for IT and Architects

Microsoft Agent 365 vs. Microsoft 365 Agents: A Field Guide for IT and Architects

Microsoft Agent 365 vs. Microsoft 365 Agents is the field guide distinction for IT teams and architects: one term describes governed agent operations, while the other describes the agents users build and run inside Microsoft 365 experiences.

If you’ve spent the last twelve months in the Microsoft AI ecosystem, you’ve watched the same pattern repeat: every announcement reframes the same thing under a slightly different banner. Copilot. Copilot Studio. Microsoft Foundry. Microsoft Agent Framework. Declarative agents. Custom engine agents. And now, two terms that sound almost identical but mean very different things Microsoft 365 Agents and Microsoft Agent 365.

I keep seeing them used interchangeably, including in serious technical posts. They are not interchangeable. With Agent 365 hitting general availability on May 1, 2026, getting this distinction right is no longer a pedantry exercise it’s a procurement, governance, and architecture decision.

This post is the field guide to Microsoft 365 Agents I would have wanted before I started building.

Microsoft 365 Agents: declarative agents, custom engine agents, and Agent Builder in the Microsoft Copilot host
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Microsoft IQ Explained: Making Enterprise AI Agents Work

Microsoft IQ Explained: Making Enterprise AI Agents Work

Microsoft IQ Explained: Making Enterprise AI Agents Work

This post is Microsoft IQ explained in a practical way — 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.

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

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

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

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.

Become a Prompt Engineering Pro: Mastering the Art of Talking to AI in 2025
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Microsoft Copilot for Security: Getting Started Guide

Microsoft Copilot for Security: Getting Started Guide

Microsoft Copilot for Security: Getting Started Guide

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.

Microsoft Copilot for Security getting started guide
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Build an Intune Copilot with Microsoft Copilot Studio

Build an Intune Copilot with Microsoft Copilot Studio

Build an Intune Copilot with Microsoft Copilot Studio

In the last post I explained how you can build a CoPilot using the Azure OpenAI Studio. In this blog post we will build an Intune Copilot with the Copilot Studio instead. Here we will also utilize the Azure OpenAI Service. This is similar to the approach I used for my Intune AI Voice Bot, where AI is also used to interact with Microsoft endpoint management scenarios. Let’s have a quick look into building this as well:

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Build a No-Code Intune Copilot in Azure OpenAI Studio

Build a No-Code Intune Copilot in Azure OpenAI Studio

Build a No-Code Intune Copilot in Azure OpenAI Studio

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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GPT Remediation creator

GPT Remediation creator

GPT Remediation creator

The GPT Remediation creator helps you tackle one of the trickiest parts of modern client management: remediations play a pivotal role in proactively identifying and resolving end-user issues. Additionally, they serve as a valuable tool for enforcing specific settings or configurations that may not be natively supported in Microsoft Intune. However, the process of crafting these scripts can often be intricate and time-consuming.

Imagine a solution where you can simply describe your desired configurations, and a tool generates the necessary scripts for you. If you find this idea appealing and are keen to explore such a solution, this blog is tailored to meet your exact needs.

GPT Remediation creator results in the web interface
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How Copilots Work: LLM Architecture, Grounding, and Intune

How Copilots Work: LLM Architecture, Grounding, and Intune

How Copilots Work: LLM Architecture, Grounding, and Intune

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
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