The article discusses the difference between traditional automation (autonomous) and Agentic AI, which can plan, adapt, and act autonomously towards business objectives rather than just tasks, as a new paradigm is emerging in the field of business efficiency. Unlike traditional automation that follows instructions and follows instructions, agentic AI is goal-driven, autonomous, and adaptive. It can manage multi-step processes across systems, reason through complex situations, and optimize outcomes. Unlike the previous model, traditional automation operates within a narrow task scope, handling only the specific steps it was programmed to execute. AgenticAI can adapt rapidly to meet goals in real time to meet them. It learns from feedback and data patterns, improves its performance over time, and adapts to unexpected situations. The article suggests that leaders should consider the shift to maximize capability, autonomy, and business value. It also discusses how to identify high-impact processes, prioritise employee empowerment and process optimization without increasing staff numbers.
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