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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Modeling – decision models and task models

As mentioned previously, it’s important that the business can own the decisions—that is, the people in charge of defining enterprise policies should also be the ones in charge of using the tooling to model the decisions, by using a format that both the human and the machine can understand unambiguously.

Examples of decisions that can (and should!) be automated are listed here:

In the insurance space, claim processing includes a lot of automated (or automatable) decisions, such as fraud detection, automatic claim payment when common conditions are met, automatic rejection of incomplete cases, routing to the proper adjuster based on the claim topic, and so on
In the banking sector, we can think about all automation of online banking, which requires decisions related to accounting management, money transfer validation, account opening and closing verifications, compliance with international transactions with...