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Understanding AI Models in Microsoft Power Platform

  • Writer: Sivakumar K
    Sivakumar K
  • 1 day ago
  • 2 min read

Microsoft Power Platform comes with a powerful set of tools designed to help organisations transform the way they work. Among these, one of the most exciting capabilities is AI Builder, also known as AI Hub. In this post, we’ll break down what AI Builder is, the types of models it offers, and how you can use them to bring real value to your business.


AI Models
AI Models

What is AI Builder / AI Hub?


AI Builder is a collection of AI models that can be used directly in your apps and workflows, eliminating the need for advanced coding or data science skills. It includes:

  • Prebuilt Models → Ready-to-use AI models for common business scenarios.

  • Custom Models → Train your own models using your organisation’s data.

This means you can start small with quick, out-of-the-box models and later build custom ones that match your specific business needs.


What is an AI Model?


An AI model is essentially a trained system designed to handle a specific type of activity. It learns from examples and then applies that knowledge to new data.


Example:

Imagine you receive hundreds of bills or receipts every month. Instead of manually typing details into a system, an AI model can automatically:

  • Scan the document

  • Extract the important information (like date, amount, and vendor)

  • Store it directly in your database or app


All you need to do is feed the model with sample data during training, and it will learn to recognise patterns, making your processes faster, more accurate, and less dependent on manual effort.


Why Does This Matter?

Using AI models in the Power Platform allows you to:

  • Save time by automating repetitive tasks

  • Reduce errors with consistent, accurate data extraction

  • Empower teams to build intelligent solutions without needing advanced AI expertise

  • Scale innovation across the organisation


What’s Next in This Series

This post is just the beginning. In the upcoming parts of this series, we’ll explore:

  • How to use existing AI models directly in your apps and flows to get quick results.

  • How to build custom AI models tailored to your specific business requirements.

By the end, you’ll not only understand what AI Builder can do but also know how to put it into action—from plug-and-play scenarios to fully customised solutions.



 
 
 

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