In the ongoing transformation, India is evolving into more than just a hub for back-office processing; it is emerging as a global leader in digital innovation. With the “India Stack,” unprecedented UPI transaction volumes, and a rising middle class, the traditional models for digital transformation are being reconsidered. For modern Indian enterprises, the phase of merely experimenting with AI is over. To nurture the growth trajectory of Bharat, organizations must transcend pilots and proof-of-concept initiatives. In a landscape where millions of transactions occur every second, merely seeking incremental gains is insufficient; it risks rendering businesses obsolete. The key to progress lies in fundamentally shifting from AI as a supportive tool to AI as an autonomous collaborator.
From Passive Assistants to Proactive Collaborators
The initial wave of enterprise AI in India relied on assistive tools that performed tasks like summarizing emails or drafting documents. While these tools offered value, they were limited by their reactive nature, depending on human initiative to perform tasks. In contrast, agentic AI transforms workflows by being goal-oriented and contextually aware. Such AI does not just recommend actions; it comprehends goals, accesses relevant data systems, and executes solutions independently.
A recent study by the IBM Institute for Business Value indicates that by 2027, twice as many executives expect AI agents to autonomously make decisions as part of core business processes compared to today. This shift is particularly critical in India, where high complexity and narrow profit margins prevail. We are progressing from relying on tools for decision-making to implementing systems that autonomously drive decisions within defined governance structures.
Re-architecting the “Bharat Enterprise”
Leveraging agentic AI demands a radical overhaul of business processes. Many legacy firms in India continue to operate on linear workflows designed for a pre-digital era. Simply adding AI to these outdated processes is akin to attaching a turbocharger to a bullock cart; it may look appealing but is fundamentally inefficient. A majority of C-suite executives agree that a new operating model is essential for achieving optimal advantages, based on three foundational principles:
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Transitioning to Event-Driven Models: This involves shifting from linear sequences to dynamic workflows capable of adapting to real-time market signals, such as sudden increases in rural demand or global supply chain disruptions.
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Integrated Data Frameworks: The efficacy of AI agents hinges on their cognitive capabilities, which necessitates a hybrid data architecture enabling agents to access and analyze data across multiple functions—from manufacturing floors to customer-facing applications.
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Establishing a Trust Framework: As AI agents gain more autonomy, effective governance becomes paramount. Responsible AI, characterized by transparent and auditable decision-making, serves not as an obstacle but as a key enabler for safe scaling.
Driving Outcomes: The Accelerated Pace of Business
The integration of AI agents into essential business processes is beginning to reshape competitive dynamics across critical sectors in India. In financial services, there are opportunities for real-time fraud detection and mitigation, allowing for seamless user experiences while addressing risks. In manufacturing, AI agents are being adopted to predict equipment failures and autonomously manage maintenance, parts procurement, and failover strategies, contributing to uninterrupted operations. Retailers are leveraging hyper-local dynamic pricing and personalized recommendations, while healthcare is innovating patient workflows with clinical assistants, real-time scheduling, and comprehensive patient history management.
For Indian business leaders, adopting a “wait and see” mindset poses the greatest risk. The growth narrative in India is being shaped by those who perceive AI not as a marginal enhancement but as essential to the enterprise’s operational framework. The directive is straightforward: identify core inefficiencies, dismantle rigid legacy systems, and integrate agentic intelligence at the core of operations. In the competition to lead the global digital economy, early adopters will not just gain market share; they will redefine standards for collaborative enterprises. The evolution from “AI-assisted” to “Agent-led” is vital for ensuring rapid advancement in one of the world’s fastest-growing economies.
The author is Shalaka Verma, Executive Director, Data and AI, IBM India & South Asia. The views expressed are those of the author and do not necessarily reflect those of ETCIO, which assumes no responsibility for any damages caused to individuals or organizations, directly or indirectly.
