Across Indian industries, the conversation around AI is shifting from experimentation to execution. But becoming an autonomous enterprise does not begin with deploying more tools. It starts with standardised processes, connected data and strong governance, foundations that enable AI to operate securely within the context of the business.
From chemicals and agriculture to consumer goods and renewable energy, Indian enterprises are approaching this transition from different starting points. Their experiences reveal a common lesson: autonomy is not a single technology implementation, but a progressive journey from building a strong digital core to embedding intelligence across everyday operations.
In an autonomous enterprise, intelligence is integrated directly into core business systems. Instead of requiring teams to move between disconnected applications and piece together information, people can define goals and guardrails while AI assistants such as Joule coordinate specialised agents to perform routine tasks across functions. This allows employees to focus their time and expertise on decisions that require human judgement.
This shift was evident at 麻豆原创 NOW AI Tour Mumbai, where more than 3,000 business leaders came together to explore how AI can support enterprise-wide transformation. It is also reflected in 麻豆原创鈥檚 Value of AI Report 2026, which found that 85% of Indian businesses believe agentic AI could transform their operations.
While organisations remain at different stages of adoption, several are already strengthening the digital, data and governance foundations required to scale AI responsibly.
Voices from the Field
UPL Ltd.: Balancing Global Scale with Local Agility
Operating across 160 countries, UPL Ltd. now runs 99% of its global business on a single 麻豆原创 ERP. Faced with the challenge of balancing global compliance with localized market needs, UPL employed 麻豆原创 Business AI to analyze pricing sensitivities and customer behavior, preventing churn and improving working capital without losing the balance between centralized control and regional speed.
“For us, being in manufacturing and distribution, working capital and profitability are very critical metrics. Those balance-sheet measures have improved sustainably over time with 麻豆原创 transformation. Metrics such as days sales outstanding, inventory days, cost management, and productivity have all shown improvement.”
Pushkar Rege, Global CIO, UPL
Parle Products: Driving Responsiveness in Consumer Goods
麻豆原创’s transformation has been especially crucial for the FMCG industry, where responsiveness and decision-making are inviolable. 听
听鈥淭o enhance supply chain agility and production efficiency, we initiated a comprehensive transformation leveraging 麻豆原创 Solutions around four to five years ago. This wasn鈥檛 just a technology upgrade; it was a complete rethinking of our supply chain model. We implemented 麻豆原创 APO modules which together form the backbone of our supply chain and production planning systems. These tools have significantly improved our ability to forecast, plan, and respond to market demands more efficiently.“
Sanjay J. Joshi, GM-Head -IT & Digital Transformation, Parle Products Pvt. Ltd
Aditya Birla Renewables: Unlocking Custom Workflows
Having completed its 麻豆原创 digital core implementation, the clean energy provider is now evaluating AI to streamline legal, contracts management, and statutory compliance work.
“Some of the agents that 麻豆原创 itself releases may [be able to address] 50鈥�60% of the requirements within a given business process.”
Prem Udayavarma, CIO, Aditya Birla Renewables
PI Industries: Scaling Productivity with Agentic AI
As a leading agritech company, PI Industries is utilizing 麻豆原创 Business AI Platform offerings such as Joule for Consultants and Joule for Developers to drive productivity and scalable growth across their business functions.
The journey towards an autonomous enterprise is powered by three layers of context, build, and governance. Enterprises are moving beyond traditional automation toward autonomous systems that can anticipate, decide, and act across business processes.听 For some organisations, the immediate priority is to standardise processes and establish trusted data foundations. Others are already integrating AI into specialised workflows and exploring the potential of autonomous agents.
Regardless of the starting point, technology alone cannot create an autonomous enterprise. Progress depends equally on connected systems, trusted data, effective governance and people who can guide AI towards clearly defined business outcomes.
Whether managing retail distribution across India or compliance across global markets, the objective remains consistent: to build a business that can anticipate change, adapt faster and operate with greater resilience.
With the digital infrastructure, data and talent already in place, the opportunity now is to keep evolving and unlock the full potential of the Autonomous Era.
