Many times, we mix up automation with AI thinking they’re the same thing.
But actually, automation isn’t AI. It can work together with AI, or it can work on its own.
Let’s clear up what Automation means, and what is the difference when its teamed up with AI and when it’s operates on its own.
Understanding automation as a concept
Automation means using technology and machines to do tasks with very little help from people.
It’s all about making processes smoother, faster, and easier by replacing manual work with machines.
Automation Definition
Automation is the ability to leverage technology to execute predefined processes that involve sequential steps from point A to point B.
These processes are carried out consistently and systematically, with tasks performed in a predetermined order using automated systems or machinery.
Automation’s Key Features
- Defined Processes: Automation is for tasks that have clear steps that can be repeated.
- Consistency and Repetition: Tasks are done the same way every time, following a set plan or instructions.
- Less Human Work: Automation reduces how much people need to do by using machines instead.
- Fewer Mistakes: Automation helps to make fewer errors and do things more accurately.
- Efficiency and Growth: Automated tasks help work go faster and can handle more work without needing more people.
Benefits of Automation
- Fewer Mistakes: Automation lowers the chance of making mistakes in repeat tasks.
- Saves Work: By automating tasks, organizations can save on work and costs.
- Works Better: Automated tasks make work go smoother and faster.
- Always Reliable: Automation makes sure tasks are done the same way each time.
In Summary: Automation makes tasks easier and faster by using technology to follow a set plan, leading to better productivity and fewer mistakes.
Simply Put: Tasks that are defined, repetitive, and don’t need human thinking are best for automation.
Automated tasks – Examples
- Updating or installing software
- Manufacturing, where robots do things like welding or packing
- Payroll systems that calculate salaries and taxes
- Chatbots that talk to customers and answer questions without needing a person.
Remember: Not every task needs fancy automation with AI.

Why Are AI and Automation Confusing?
We often mix up AI (artificial intelligence) and automation because they both involve using technology to do tasks without humans. Here’s why this happens:
Overlap in Uses: Both AI and automation make things easier, save effort, and boost efficiency. For instance, chatbots use both AI and automation to answer customer questions automatically.
AI Complexity: AI is complex and uses advanced techniques like machine learning and natural language processing. This can make it seem like automation when it makes decisions on its own.
Marketing Terms: Companies often use terms like “smart automation” or “AI-driven automation” interchangeably in ads and media. This adds to the confusion about what’s AI and what’s just automation.
Lack of Information: Many people don’t fully understand the technical differences between AI and automation, so they mix them up becuase of lack of information using simple understandable words.
Changing Technology: As tech evolves, the lines between AI and automation can blur, making it harder to tell them apart.
Simple Explanation: AI needs automation to do tasks. Without automation, AI can’t act on its decisions. On the flip side, automation benefits from AI by handling tasks in more flexible ways. It’s not just about going from point A to point B anymore—it can adapt based on AI’s analysis.
In short, while AI and automation work together, they have different uses and should be understood separately to get the most out of each one.

My Thoughts:
Not all tasks require AI to be automated. Understanding the distinctions between AI and automation enables us to use them appropriately where needed.
Implementing AI to automate tasks involves time, learning, data, and training for both humans and AI systems.
The quickest path, in many cases, to integrating AI is through automation first. When we automate tasks, it often serves as the essential initial step toward AI adoption. This allows us to document processes, conduct experiments, and gain valuable experience, laying the groundwork for incorporating AI effectively.
If you’re not sure where to start, I’d be happy to help you get going.