Artificial Intelligence for Workflow Automation

By Theo Riven
Listen with Sir Michael Caine™ and 1,000+ voices
Length3h 24m

About this audiobook

Turn repetitive work into smart, efficient systems with the power of artificial intelligence and automation. Artificial Intelligence for Workflow Automation is a practical guide for professionals, business owners, freelancers, teams, and beginners who want to use AI to save time, reduce manual tasks, and improve productivity. The book explains the foundations of artificial intelligence, machine learning, natural language processing, workflow design, and automation strategy in clear, accessible language. Readers will learn how to identify workflow bottlenecks, design automated processes, connect tools, use no-code and low-code platforms, apply AI to repetitive tasks, and build scalable productivity systems. The book also explores real-world use cases involving business operations, data handling, reporting, task management, and intelligent process improvement. Whether you are automating personal tasks or building business systems, this guide helps you understand how to use AI-driven automation to work faster, smarter, and more effectively.

Audiobook details

GenreTechnology
Length3 hrs 24 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateJun 12, 2026
LanguageEnglish

Table of contents

1Chapter 1: Demystifying AI and Workflow Automation – Your Starting Line
2Introduction to AI and Workflow Automation
3What is AI? Breaking Down the Basics
4Machine Learning: Teaching Computers to Learn from Experience
5Neural Networks: The Brain-Like Structure Powering AI
Show all chapters
6Natural Language Processing: Making AI Understand Human Words
7Understanding Workflows in Everyday Work
8Why AI Automation Transforms Productivity
9Self-Assessment Quiz: Gauge Your Current Level
10Quick-Win Exercise: Mapping Your First Simple Workflow
11Real-World Applications and Actionable Steps
12Summary of Key Takeaways
13Exercises and Challenges for Practice
14Chapter 2: Building Blocks of Automation – No-Code Tools for Beginners
15Core Concepts of No-Code Automation: Triggers, Actions, and Conditions
16Triggers: The Starting Gun for Your Automation
17Actions: The Workhorses That Get Things Done
18Conditions: The Smart Decision-Makers
19Overview of No-Code Platforms: Zapier, Make.com, and Microsoft Power Automate
20Zapier: The App Connector King for Quick Wins
21Make.com: Visual Power for Complex Flows
22Microsoft Power Automate: Enterprise-Ready for Microsoft Users
23Step-by-Step Setup: Your First Automation – Email-to-Task Syncing
24Prerequisites
25Step 1: Create a New Zap (2 minutes)
26Step 2: Set Up the Trigger – Watch for New Emails (3 minutes)
27Step 3: Add the Action – Create Todoist Task (4 minutes)
28Step 4: Insert a Condition for Smarts (3 minutes)
29Step 5: Turn It On and Monitor (3 minutes)
30Troubleshooting Common Newbie Pitfalls
31Pitfall 1: Trigger Not Firing (Silent No-Starts)
32Pitfall 2: Actions Failing Mid-Way (Partial Executes)
33Pitfall 3: Conditions Too Rigid or Loose
34Pitfall 4: Performance and Cost Surprises
35Hands-On Project: Automate a Daily Report Generation
36Project Goal and Mapping
37Step 1: Trigger – Schedule Daily Run (5 minutes)
38Step 2: Pull and Process Data – Action 1: Lookup Spreadsheet (5 minutes)
39Step 3: Add Intelligence – Optional Condition and AI Summary (7 minutes)
40Step 4: Generate and Send Report – Actions 3-4: Create PDF and Email (8 minutes)
41Step 5: Refine and Deploy (5 minutes)
42Real-World Applications and Actionable Steps to Implement
43Summary of Key Takeaways
44Exercises and Challenges for Practice
45Chapter 3: Integrating AI into Basic Workflows – Smart Decisions Without Coding
46How AI Enhances Traditional Automation
47Predictive Triggers: Anticipating Events Before They Happen
48Sentiment Analysis: Reading Between the Lines
49Exploring Free AI APIs: Gateways to Intelligence
50OpenAI's GPT: Versatile Text Wizardry

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