But here’s the catch: most enterprises are stuck between pilot projects and real-world production. Why? Because running an AI agent isn’t about fancy models; it’s about integration, governance, and accountability. Think of it like this: a copilot helps you draft emails; an agentic AI can trigger a financial transaction; and if it messes up, the damage is real. Indian firms in BFSI, insurance, and manufacturing are already experimenting, but scaling safely? That’s the hard part. The real gap isn’t tech; it’s systems. Legacy platforms weren’t built for autonomous agents. So you need an integration layer, clear ownership, and measurable outcomes. And forget “human-in-the-loop” as a checkbox; build triggers for escalation (e.g., unusual claims go to humans). Pilot success ≠ production readiness. The winners won’t be those with the smartest AI; but those who treat agents as core business systems, not tech demos. India’s tech talent and infrastructure give us a head start. Now’s the time to build the operating model; not just the model.