India, March 9 -- For much of the past two years, enterprise AI conversations have revolved around copilots, assistants, and productivity gains. Agentic AI marks a sharper inflexion point. These systems do not merely recommend or respond. They observe, decide, act, and learn, often autonomously, across finance, HR, supply chains, cybersecurity, and core ERP workflows. As agents begin to collaborate, chain decisions, and operate at machine speed, enterprises are confronting a deeper question: how much autonomy is too much, and who remains accountable when machines act on behalf of the business?

What is becoming clear is that agentic AI is not a model upgrade. It is an operating model shift. Unlike traditional automation, agentic systems r...