What is Agentic Automation?

Agentic automation goes beyond the basics. It’s powered by AI, using advanced models like large language models (LLMs) to handle more complex and unstructured tasks. For example, it can process emails, interpret customer queries, and even make decisions based on data.

Picture this: A customer sends an email with a complaint. Traditional RPA can follow rules to identify the sender and forward the message to the right department. Agentic automation, however, can read the email, understand the issue, and even suggest a solution.

The benefits of Agentic Automation

Handles complexity

Works with both structured and unstructured data.

Adapts to change

Reacts to new scenarios and can learn over time.

Decision-making

Goes beyond executing tasks to solving problems.

The real magic happens when AI combines with software robots to get tasks done faster and smarter. With this, people can focus on the tasks that make better use of their creativity, judgement, and human touch.

Key differences between RPA and Agentic Automation

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