AI Automation vs. Agentic AI: Key Differences

AI Automation vs. Agentic AI: Key Differences

AI Automation and Agentic AI are related, but they work differently.
Here is a simple comparison:

Topic	AI Automation	Agentic AI
How it works?	Follows predefined steps or workflows.	Decides the next steps based on the situation, previous results, etc., to achieve a specific goal.
Decision making	Has limited decision-making capabilities and mainly depends on the instructions it receives.	It makes decisions based on its goal, available information, instructions, tools, and previous results.
Workflow	Uses predefined workflows.	Can adapt the workflow as required and is dynamic in nature.
Human involvement	Human input may be required at different stages, based on the goal, expectations, or exceptions.	Generally requires less human involvement after the goal is set, but human input may still be needed for important decisions or exceptions.
Tools and Resources	Uses predefined tools and resources.	An AI Agent can choose from the available tools and resources based on what is needed to achieve the goal. Keep in mind that an AI agent cannot automatically access any tool or resource. It can choose only from the tools and resources that are made available to it.
Use cases	Best for repetitive and predictable tasks.	Best for complex, changing, or less predictable tasks.
Examples	1. Provide specific product information requested by a customer in a sales app.	1. Provide the requested product information, suggest the best product based on the customer's needs, and provide available deals and warranty information, if available or applicable, for the product.
	2. If a payment fails, trigger a workflow to create and send an email.	2. If a payment fails, examine the customer and payment information, determine why it failed, decide whether an email is appropriate, compose a message, and send it or escalate it if necessary.
	3. Schedule a testing job to run.	3. Analyze the requirements, determine which test cases to run, and carry out the execution when the application is ready for testing.

In simple terms:
AI Automation → Follows a defined process
Agentic AI → Works toward a goal and can decide what to do next
The key difference is not simply that one uses AI and the other does not. The main difference is how much decision-making and adaptability the system has.