“Agentic AI” refers to artificial intelligence systems that exhibit agency—that is, they are capable of acting autonomously to achieve goals, often in complex and dynamic environments. These systems go beyond passive tools and begin to look more like independent agents.
The future is here
Today, industries are rapidly transforming and driving through breakthroughs in artificial intelligence, automation, and data science.
Movements toward agile, more scalable capabilities have never needed more importance, as real challenges surface for businesses that require innovations, precision, and speed. Organizations are revolutionizing workflows, catalyzing efficiencies, and defining customer experiences with AI. Major entry of intelligent agents into this change has been the automation of decisions, personalization of services, and even smatter operations across sectors.
Types of AI Agents
Reactive Agents: These agents are pure codes. They are pre programmed rules-based agents that act on mere stimuli with no retention of past experiences.
Model-Based Agents: These agents have an internal model of the environment which is used for outcome simulation before action.
Goal-Based Agents: Oriented towards a definite goal, these agents examine possible actions so one may find the most-directed path toward the destination.
