“Autonomy is not about removing humans from the loop; it’s about designing systems that know when to act, when to advise, and when to escalate.”

In Indian manufacturing, automation is no longer a differentiator, it is the baseline. Most plants today run on ERP-driven planning, automated production lines, barcode-based inventory, and digitized finance. Yet, despite years of investment, leaders still spend disproportionate time firefighting: material shortages, production plan overrides, delayed dispatches, and post-facto explanations. This is where the Agentic Shift begins, moving enterprises from automation that executes, to autonomy that thinks and acts with intent.

 I have seen this shift emerge not as a big-bang transformation, but through very real operational pain points. For instance, production schedules may be system-generated, but planners still intervene daily because demand signals change, vendors underperform, or capacity assumptions break. Automation faithfully follows rules; it does not question them. Agentic systems do. They sense deviations early, evaluate trade-offs across procurement, production, and finance, and recommend or take corrective action within defined guardrails.

 In a manufacturing environment, autonomy shows up in practical ways. A planning agent that dynamically reshapes the MRP run based on supplier reliability and plant constraints. A finance agent that flags margin erosion while orders are still in execution, not after month-end closure. An IT operations layer that detects abnormal system behaviour and resolves issues before users even raise tickets. These are not futuristic ideas, they are natural extensions of systems enterprises already operate, when intelligence and context are layered thoughtfully.

 However, autonomy does not emerge from algorithms alone. In my experience, it is built on disciplined master data, standardized processes, and strong business ownership. When material masters, BOMs, and customer data are inconsistent, no agent can be trusted. When decision rights are unclear, autonomy creates anxiety instead of value. The Agentic Shift therefore forces enterprises to mature, not just technologically, but organizationally.

 What changes most is the role of people. Teams stop chasing transactions and start shaping outcomes. Plant heads engage with scenarios, not spreadsheets. IT shifts from being a system custodian to an enterprise enabler. Leadership conversations move from “why did this happen?” to “how early can we see this coming?”

 The Agentic Shift is not about removing humans from the loop. It is about building systems that work with human judgment, systems that know when to act, when to advise, and when to escalate. For Indian manufacturing enterprises navigating scale, complexity, and volatility, autonomy is not a luxury. It is the next logical step toward sustainable, intelligent growth.

The Journey Into Industry

Abhishek Kumar Singh is an highly accomplished technology leader and proud alumnus of Indian Institute of Technology (Banaras Hindu University) with over 20 years of exemplary experience in IT strategy, digital transformation, and enterprise technology operations. His career spans leading organizations including Deccan Herald, Blue Star Limited, Steel Authority of India Limited, SAP Labs, and Wipro. Currently serving as Chief Information Technology Officer at Technova Imaging Systems, he leads enterprise digital platforms, IT infrastructure, and transformation initiatives. With deep expertise in cloud, ERP, mobility, and data analytics, he focuses on driving innovation, operational excellence, and data-driven decision making while building high-performance technology teams that create sustainable business value.