Book Image

Workflow Automation with Microsoft Power Automate - Second Edition

By : Aaron Guilmette
4 (2)
Book Image

Workflow Automation with Microsoft Power Automate - Second Edition

4 (2)
By: Aaron Guilmette

Overview of this book

MS Power Automate is a workflow automation tool built into MS 365 to help businesses automate repetitive tasks or trigger business processes without user intervention. It is a low-code tool that is part of the Microsoft applications framework, the Power Platform. If you are new to Power Automate, this book will give you a comprehensive introduction and a smooth transition from beginner to advanced topics to help you get up to speed with business process automation. Complete with hands-on tutorials and projects, this easy-to-follow guide will show you how to configure automation workflows for business processes between hundreds of applications, using examples within Microsoft and including third-party apps like Dropbox and Twitter. Once you understand how to use connectors, triggers, and actions to automate business processes, you’ll learn how to manage user input, documents, and approvals, as well as interact with databases. This edition also introduces new Power Automate features such as using robotic process automation (RPA) to automate legacy applications, interacting with the Microsoft Graph API, and working with artificial intelligence models to do sentiment analysis. By the end of this digital transformation book, you’ll have mastered the basics of using Power Automate to replace repetitive tasks with automation technology.
Table of Contents (22 chapters)
20
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21
Index

Introducing AI Models

Throughout the examples in this book, you’ve used conditions to determine which branch of a flow should execute. You’ve used conditions like:

  • Is the purchase request value more or less than $1,000?
  • Does the user have more or less than 100 Twitter followers?
  • Is the approval response equal to Approved?

Those types of evaluations are useful when you’re working with hard data – numbers, Boolean values, or exact string matches. But what happens when you’re trying to make decisions with less straightforward data?

That’s where Artificial Intelligence (AI) models can become useful. AI models use AI to make determinations about a variety of different content and data types. For example, it may be very easy for a human to read a business card and determine what value is the individual’s name and what value is the individual’s job title, regardless of where they are placed on the...