Introduction to AI-Powered Workflow Automation

What Is Workflow Automation and Why Does It Matter?

Core Concepts and Components

Getting Started - First Automation with AI

Comparing Leading Workflow Automation Platforms

Choosing the Right Tool for Your Needs

Using AI-Powered Features in Workflow Platforms

Workflow Design Thinking - Mapping, Triggers, and Actions

Triggers, Actions, and Decision Logic (with Deep Examples)

From Design to Real Automation; Applying AI and Real Scenarios

Using Generative AI for Content Creation and Automation

Automating Email with AI - From Inbound Sorting to Personalized Outbound Campaigns

Lesson 3: Document Automation - AI for Extraction, Summarization, and Filing

Automating Data Collection from Multiple Sources

Using AI Agents for Data Structuring, Cleaning, and Enrichment

Analyzing and Reporting Extracted Data

Designing Advanced Multistep Workflows

Conditional Logic and Smart Branching

Error Handling, Monitoring, and Continuous Optimization

Monitoring Automated Workflows for Reliability and Success

Troubleshooting Common Automation Issues

Measuring Automation ROI - Value, Cost, and Improvement

Monitoring Automated Workflows for Reliability and Success

Troubleshooting Common Automation Issues

Measuring Automation ROI - Value, Cost, and Improvement

Securing Automated Workflows - Principles and Practicalities

Compliance - Legal, Regulatory, and Organizational Demands

Responsible Automation - Ethics, Transparency, and Human Oversight

Next-Generation AI Agents and Autonomous Workflows

Orchestration, Integration, and Hyperautomation

Responsible Innovation and Strategic Adoption