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Lightweight Monitoring for Critical Workflows

Lightweight Monitoring for Critical Workflows

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Some time ago, I built a larger Dataverse solution that included a whole bunch of automated workflow tasks. Everything worked fine during development. Then I deployed the solution and quickly realized a painful truth: all these workflows were running completely unobserved. I found myself waiting for a result that simply didn’t appear. I couldn’t see what went wrong in real time. I only got clarity at the end of the day when one of those delayed summary emails showed up….

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Agents, Agents, Agents

Agents, Agents, Agents

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The Agents topic is everywhere and omnipresent. Everybody tells you; this is the next big thing. You need an army of agents that finish your work. But how do I build such agents? Should I go for pro-code or for low-code? Should I use AI Foundry or Copilot Studio. Furthermore, what is a good example of building an agent? This was also the billion dollar-question for me. Today, I will showcase a small example to you where I will build…

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Integrate Documentation in Model-Driven Apps

Integrate Documentation in Model-Driven Apps

During the last Power Atelier, I got asked: “Hey Michael, how do you usually document your Power Platform solutions?” I said, “I typically use Atlassian Confluence for documentation and Draw.io for architecture diagrams.”That kicked off a great discussion – and then someone followed up with,“Those diagrams and visuals are awesome! I’d love to integrate that documentation in my model-driven apps. But how can I do that?” I thought about it for a moment… and then I had an idea. What…

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Using AI for Data Correction

Using AI for Data Correction

How do you usually use Generative AI? That’s a question I get asked quite often. Most of the time, my answer is something like this: “I use it to summarize texts. I also draft ideas together with the AI, and it helps me write content more efficiently.” But this is just one piece of the puzzle. In automation scenarios within the Power Platform, I also utilize AI for data correction. Today, I will explain how this process works. In detail,…

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Pretty Print JSON within Flows

Pretty Print JSON within Flows

Some weeks ago I prepared my presentation about AI Foundry Content Understanding for the Baltic Summit 2025 at Gdansk, Poland. In detail, I have built a small model-driven app as frontend for my demo. My goal was to upload first my PDF file into my Dataverse table from my app. Next, I would start my automation scenario based on Power Automate flows. After completion of my content understanding analyzer, I would then show the resulting JSON in my app. So,…

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Content Understanding from Power Platform

Content Understanding from Power Platform

In one of my last blog posts I introduced my new friend AI Foundry Content Understanding to you. Here I have explained in detail how you can set up Microsoft’s new AI service offering for your documents. Furthermore, I showed you how I deployed my document analyzer in Azure. As result of this exercise, I got an endpoint that I can now use in one of my use cases. In other words, now I can start working with my custom…

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Copilot Knowledge Sources – OneDrive

Copilot Knowledge Sources – OneDrive

Microsoft says adding knowledge to your Copilot is easy. You then open Copilot Studio and discover a lot of different options. But which should I choose for my data? Is uploading a file the right choice? Should I use Azure AI Search or better connecting a Dataverse table directly? Questions over question that I had as I opened Copilot Studio the first time. What is the right thing on my journey of better RAG for my Copilot Agents? In this…

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AI Foundry – Content Understanding Part 2

AI Foundry – Content Understanding Part 2

In my first blog post about AI Foundry Content Understanding, I have showed you my first impression of this new service offering. In detail, I have used a built-in template for extracting financial details of my travel expense documents. Furthermore, I added new fields to this schema to extract and generate additional information. This worked extremely good for my use case where I want to extract travel information from my passenger itineraries and invoices. This time I show you, how…

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PowerApps Automation – Run Once!

PowerApps Automation – Run Once!

Creating Model-Driven Apps (MDA) is very efficient for me. I can design forms and views for my Dataverse tables in minutes. Furthermore, adding these tables to my app takes only seconds. Plus, I can add since a while Power Fx commands to my App in the Command Bar. However, executing Power Automate flows can sometimes be tricky. That’s why I’m sharing my Automation Run Once solution today, which helps prevent Power Automate flows from running twice. Recently, I noticed that…

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AI Foundry – Content Understanding

AI Foundry – Content Understanding

Wow, what is this? AI Foundry have a new preview offering with the name Azure AI Content Understanding. Microsoft writes; Content Understanding aims to extract structured, meaningful insights from any type of unstructured data. This sounds to me like my well-known friend Azure AI Document Intelligence service. Let me check this out with a real business case that I presented at the ColorCloud conference in Hamburg. In my session “More time thanks to smart automation!” I have shown a Dataverse…

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