Agentic process automation explained

Agentic process automation explained describes how autonomous AI agents revolutionize business process automation by executing complex workflows without constant human supervision. This approach utilizes intelligent agents equipped with machine learning, natural language processing, and reasoning capabilities to understand tasks, make decisions, and adapt to changing circumstances. Unlike traditional automation that follows rigid rules, agentic process automation explained demonstrates how AI agents can handle exceptions, learn from experiences, and optimize performance continuously. These systems integrate across multiple platforms, process unstructured data, and perform tasks requiring judgment and creativity. The explanation covers how agents collaborate with humans when needed, manage complex decision trees, and scale operations while maintaining accuracy and efficiency in dynamic business environments.