You're reading from Intelligent Automation with IBM Cloud Pak for Business Automation A practical guide to automating enterprise business workflows to deliver intelligent solutions

Product type Paperback

Published in Dec 2022

Publisher Packt

ISBN-13 9781801814775

Length 450 pages

Edition 1st Edition

Tools

IBM Automation

Concepts

Application Development

Authors (5):

Suzette Samoojh

Guilhem Molines

Stephen Kinder

Allen Chan

Kevin Trinh

+1 more

View More author details

Table of Contents (21) Chapters

Preface

1. Part 1: Business Automation and Cloud Pak Overview

2. Chapter 1: What Is Cloud Pak for Business Automation? FREE CHAPTER

3. Chapter 2: RPA, Workflow, Decisions, and Business Applications

4. Chapter 3: Process Discovery and Process Mining

5. Chapter 4: Content Management and Document Processing

6. Part 2: Use Cases and Best Practices

7. Chapter 5: Task Automation with RPA

8. Chapter 6: Chatbot with RPA

9. Chapter 7: Workflow for Process Automation

10. Chapter 8: Automating Decisions to Speed Up Your Processes

11. Chapter 9: Manage Documents with Content Management

12. Chapter 10: Extract Meanings with Document Processing

13. Chapter 11: Engaging Business Users with Business Applications

14. Chapter 12: Workforce Insights

15. Part 3: Deployment Considerations

16. Chapter 13: On-Premises and On-Cloud Deployments

17. Chapter 14: Deployment Topologies, High Availability, and Disaster Recovery

18. Chapter 15: Automating Your Operations and Other Considerations

19. Index

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Configuring the bot service

IBM RPA leverages Azure Bot Service to provide a wide array of chat integrations, such as Slack and Microsoft Teams, to interact with users using their natural chat applications. IBM RPA SaaS provides an RPA-hosted chat application to provide an out-of-the-box chat experience, as depicted here:

Figure 6.14 – Azure Bot Service integration

Next, let’s understand the components of the preceding diagram.

Azure Bot Service

For IBM RPA SaaS, the IBM System Reliability Engineering (SRE) team will configure your Azure Bot Service instance for you by opening a service ticket—for this example, a Direct Line connector is used to connect the RPA-hosted chat application. In our example, the SRE team will provision a bot named vetClinicBot. Note that vetClinicBot is the Azure Bot Service configuration name, and through the following steps, we’ll link that service to the vetClinic automation hosted by IBM RPA,...