Artificial intelligence (AI) is entering a transformative phase, defined by intelligent autonomy. Leading this shift is agentic AI, a framework of autonomous systems capable of making decisions, initiating actions and adapting in real time to dynamic operational conditions. Unlike earlier models that required constant human intervention, these agents operate independently, learning continuously and executing tasks with minimal oversight. This evolution is powered by the perceive, reason, act and learn (PRAL) loop, a cognitive framework that enables agents to function with intelligence, accountability and adaptability. This iterative process transforms AI from static automation into dynamic, memory-driven intelligence that evolves with business needs.
As organisations adopt agentic AI across operations, they are deploying specialised agents tailored for critical business functions. These agents are not generic; they are purpose-built to address unique challenges and opportunities across the enterprise.
