AI agents and agentic AI are becoming important concepts in artificial intelligence and business automation. Both can perform tasks, make decisions, and interact with tools, but they differ in their scope and level of autonomy.
Understanding the difference between an AI agent and agentic AI can help businesses choose the right approach for their automation needs.
What Is an AI Agent?
An AI agent is an AI system designed to perform a specific task or achieve a defined objective. It can understand information, make decisions based on its instructions, and take actions.
For example, an AI customer-support agent can answer customer questions, provide product information, or check order details when connected to the appropriate systems.
What Is Agentic AI?
Agentic AI refers to AI systems that can work toward a broader goal by completing multiple steps. Depending on how the system is designed, it can plan actions, use tools, evaluate results, and continue with the next step.
For example, an agentic AI system could be given the goal of creating a competitor analysis. It may gather information, analyze the data, organize the findings, and create a report using connected tools.
Key Differences Between AI Agents and Agentic AI
The main difference is the scope of the task and level of autonomy.
| AI Agent | Agentic AI |
|---|---|
| Performs defined tasks | Works toward broader goals |
| Often follows a specific workflow | Can manage multiple steps |
| Usually has a defined role | Can coordinate different actions |
| May have limited autonomy | Can provide greater autonomy |
| Can use specific tools | Can coordinate multiple tools |
An AI agent can also be part of a larger agentic AI system.
AI Agent vs Agentic AI: Simple Example
Consider an e-commerce business.
An AI agent could answer:
“Is this product available in medium?”
An agentic AI system could handle a broader goal such as improving customer order management. It could potentially identify an order enquiry, retrieve information, communicate with the customer, update the relevant system, and escalate the issue when human support is required.
The exact capabilities depend on the tools, integrations, permissions, and rules provided to the system.
Business Use Cases
AI agents can be used for:
- Customer support
- Lead qualification
- Appointment scheduling
- Product enquiries
- Order tracking
Agentic AI can support more complex workflows such as:
- Marketing automation
- Research and reporting
- Multi-step customer support
- Sales workflows
- Business process automation
Why Are AI Agents and Agentic AI Important?
Businesses are increasingly using AI to automate repetitive tasks and improve workflow efficiency. AI agents can handle specific activities, while agentic AI can coordinate multiple steps toward a larger objective.
However, businesses should still use appropriate human oversight, permissions, and monitoring, particularly when AI systems can take actions on behalf of users.