The core concept of agentic AI is the use of AI agents to perform automated tasks with limited human intervention.[1] While robotic process automation (RPA) systems automate rule-based, repetitive tasks with fixed logic, agentic AI adapts based on data inputs.[2] Agentic AI refers to autonomous systems capable of pursuing complex goals with minimal human intervention, often making decisions based on continuous learning and external data.[3] Functioning agents can require various AI techniques, such as natural language processing, machine learning (ML), and computer vision, depending on the environment.[1]