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Intelligent AI Builder for business applications

by Mo Faheem
AI Builder

With the recent disease outbreaks and the life of pandemics we live in today, no one can doubt that businesses require intelligent AI builder to know their client, more than before. Microsoft business applications can easily be equipped with AI models that will have a great impact on businesses. Read more about AI models and for more information about Power Platforms.

AI builder power apps
AI Builder in Power Apps

AI Builder availablity

It is important to know that the AI model is available to use in Power Automate and Power Apps. With Power Automate, the AI model can be fed data as part of a flow and process the input, then feed the flow with the output data. In the blog, we will discuss using AI models in Power Automate and Power Apps.

AI Builder Power Automate
AI Builder in Power Automate

AI Builder Process

To understand how to create a Power Platform AI builder, we must understand that developing a model requires going through a process.

AI Builder Process

1. Build

First step is to Build an AI model by choosing one of the existing models.

2. Train

Next, train the model by providing the model exmples of previous work.

3. Test

Run test by examine the model by providing new data and check the output of the model.

4. Publish

Publish is again part of the test with real live data. Adjusting the model is possible based on this step outcome.

5. Use

Start using the model with business live data.

6. Share

Share the AI model with others to be able to use it with accurate outcomes.

Premium and Preview AI models

Microsoft continuously develops and introduce new models. However, these model require intensive testing to ensure high accuracy. I will cover the cost of the AI builder pricing in a future post.

Premium models

Premium models are stable and well-tested models. These models cannot be consumed except with a paid account or using a 30 days trial. The premium models have a diamond icon next to them. Premium icon.

Preview models

Preview AI models are newly added models that still require further training and to be tested. These AI models are free to use and will not be deducted from the AI credit. However, Microsoft recommends not use these for production needs and limit their use for testing only.

AI model Types

Using the same process above, Microsoft Power Platforms provide two types of AI models, custom models and prebuilt models. However, some of those models are built and tested by Microsoft for common business use.

Custom AI model

We build, train and test the AI model. based on a specific and unique requirement for a specific business needs and using the business data.

Prebuilt AI model

Based on general and common business practices, Microsoft provides prebuilt, trained and tested models that can be used at once without further training.

Custom AI models

At the time of writing this post, there are five custom premium AI Builder models that users can start to train and test based on their business requirement. Possibly new models will be added in the future.

category classification

Category Classification

Using this AI model, we can skim through a given text using Natural Language Processing (NLP) and extract and tag words and sentences into categories. Categorizing text can help business direct the work to the concerned teams and save employees time and effort.

category classification examples
Entity Extraction

Entity Extraction

This model will scan and skim text for entities, such as people, places, locations etc. Text will be highlighted based on the defined entities within the AI model. Example below.

Entity Extraction
Form Processing

Form Processing

Extract structured information from standard documents, such as certificates, invoices using the form Processing.

Form Processing examples
Object Detection

Object Detection

Object detection is a model used in many industries, such as retail to scan an item on shelves and report back to the inventory. This model has many other usabilities to detect objects out from images taken by a mobile camera with the Canvas app on-site or other sources.

object detection example


The prediction model is trained based on historic business data to predict the probability and the likelihood of a business process outcome. The prediction can be either with a boolean value of two options, multiple options or return a number. example of a boolean predection (yes/no) below.

Prediction example

PreBuilt Models

Prebuilt AI models are ready to use without training and testing. We created a canvas app to explain each of the following models in detail in future posts.

  • Business card reader
  • Category classification (preview)
  • Entity extraction
  • Identity document reader (preview)
  • Invoice processing (preview)
  • Key phrase extraction
  • Language detection
  • Receipt processing (preview)
  • Sentiment analysis
  • Text recognition
  • Text translation

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