Power Platform AI Builder

Take advantage of artificial intelligence to accelerate processes, predict outcomes and enhance performance

AI Builder is a capability within Microsoft Power Platform that provides AI models to be used to streamline business processes using Power Apps or Power Automate, where artificial intelligence can be applied through a graphical interface without the need for coding or AI expertise. Imagine that cumbersome processes, such as the manual entry of purchase invoices or expense data reports into Dynamics 365 can be fully automated in a few simple steps without a big IT project.

Power Platform AI Builder

Harness the power of artificial intelligence in your daily operations.

Add intelligence to your applications and workflows with various ready-to-use models without the need to gather data, build, train, and release your own models. Form processing, business card reading object detection, text recognition, receipt processing, language recognition, and text translation are just a few examples of predesigned model types. If the data and processes you want to work on are non-standard and rather unique due to your business specifics custom models are better suited.

Save resources

Reduce the processing time of documents by automatic recognition and extraction of relevant data from forms like invoices or receipts

No coding

Empower everyone to create and manage AI models with step-by-step guidance and simplified management

Easy to connect

Take advantage of a library of over 500 connectors, including those for Dynamics 365 and Microsoft 365

Extend to Azure

Provide programmers with tools to easily extend AI capabilities using built-in connectors to Azure APIs

Recognize physical objects with object detection

Identify one of the endless possibilities and apply object detection. Examples are many, such as supporting stock management with the use of photos to identify and count inventory via the Powerapp on a mobile device

Build predictive models based on historic data

Utilize historical data and link their patterns to prior outcomes and when the learned patterns are detected in the new data, the model will be able to predict future results

Detect the language of the text

Utilize historical data and link their patterns to prior outcomes and when the learned patterns are detected in the new data, the model will be able to predict future results

Natural Language Processing (NLP) model

Build a model for analysis of positive or negative sentiment in texts such as in social media or analyze correspondence with customers to direct it to relevant contacts

We are proficient in solving complex tasks and challenges.

Our goal is an efficient response to unique customer needs. Our field of expertise is the implementation and development of solutions tailored to the specifics of dispersed, multinational organizations. We will be happy to help your business.