CIOInsider India Magazine

Arun Balasubramanian, Managing Director for India and SAARC at Dynatrace, has dedicated almost thirty years to shaping the global technology sector, turning India and South Asia into the quickest expanding markets for the world's leading companies. His career, which includes significant leadership positions at Microsoft, Salesforce, ServiceNow, and currently Dynatrace, is characterized by a continual knack for fostering high-performance cultures and achieving exceptional results at scale.

In today’s dynamic business environment in India, growth doesn’t wait. Scale demands speed, productivity, and smarter operations. That’s why agentic AI has quickly become one of the most important shifts in enterprise technology. What started as exploratory pilots are now shaping how leaders think about profitability and competitive advantage. Just as cloud transformed Indian enterprises over the last decade, agentic AI is redefining how work gets done across every function. This is similar to how India leapfrogged legacy systems and adopted cloud at scale, particularly in sectors like banking (UPI), retail e-commerce, and telecom.

Boardrooms can no longer treat AI as a distant strategy or an isolated innovation project. It’s time to move from curiosity to execution, and from experiments to outcomes. For Indian enterprises, this shift is accelerated by new regulations such as the Digital Personal Data Protection Act (DPDP), which makes stronger AI governance and secure automation a business priority. For example, banks and fintechs processing UPI-scale volumes or telecom operators managing millions of daily service requests cannot deploy AI without strict guardrails. The question leaders should be asking is simple: where can agentic AI deliver value now, and how do we scale responsibly for tomorrow?

Understanding Agentic AI and Why it Matters
Agentic AI doesn’t just generate responses. It acts. These systems execute tasks, automate complex workflows, anticipate needs, and operate autonomously within guardrails set by the enterprise. For businesses operating in a high-volume, high-expectation market like India, that’s a game-changer. In a country, where digital services handle some of the world’s largest transaction volumes—UPI crossing 10 billion monthly payments—autonomous systems can significantly reduce performance and risk exposure.

Across banking, telecom, retail, and manufacturing, organizations are already running pilots that prove the impact. Businesses across industries are adopting AI more widely, with widespread deployment gains now visible in the market.

India is Scaling faster than Most Expect
India has rapidly moved beyond experimentation. A recent report highlights that 47 percent of enterprises are running multiple AI use-cases in production, while only 23 percent remain in pilot mode. Much of this growth comes from BFSI, IT services/GCCs, and consumer internet firms, which are among the earliest adopters of autonomous AI workflows. For boardrooms, the message is clear: if teams are not experimenting and scaling now, they risk falling behind competitors who are.

Also Read: India is now the Global Hub for Global Capability Centers

India’s AI investments are also accelerating. Leaders see direct business value from growth to efficiency making it a priority across the C-suite. AI deployments have materially increased in India, deepening operational dependence and strategic focus.

Why Departments Stand to Gain
The beauty of agentic AI is its reach. This isn’t a single-team tool. It strengthens how service, IT, security, operations, and revenue-driving functions support the business. Operations that once required manual intervention now run autonomously, helping enterprises deliver faster services with lower cost overheads.

During festive peaks, a telco or online retailer cannot afford slowdowns or downtime. Agentic AI allows systems to detect performance issues and remediate in real-time. Indian retailers routinely see demand spike 10–20× during Diwali and year-end sale events, where even a few minutes of downtime can impact crores in revenue. In financial services, always-on monitoring helps mitigate fraud and risk at national scale. With India’s annual digital payment volume exceeding most developed markets, AI-enabled anomaly detection is becoming a frontline requirement. Silos shrink. Performance sharpens. Competitive advantage compounds.

Also Read: The Global Fintech Fest 2025: Enabling Finance for Better World

The Payoff Indian C-Suites Care About
Agentic AI gives Indian leadership teams what they’re constantly chasing: faster decisions, leaner operations, and teams who can spend more time driving growth instead of managing routine tasks. When autonomous systems handle the repeatable work, innovation speeds up, services become more reliable, and customer expectations are met without adding more resources. This is especially critical for India’s IT services and GCC ecosystem, where teams manage global workloads and need to scale without proportionately increasing headcount.

But progress needs discipline. Autonomy only works when companies have the right guardrails clear accountability and visibility into how AI acts. The organizations that move early, with strong governance in place, will scale faster and gain a competitive edge while others are still debating whether to begin.

Also Read: 5 AI Initiatives by the Indian Government Driving National Growth

The Moment is Now
Agentic AI is no longer emerging; it’s here, and India is uniquely positioned to lead thanks to its massive digital population and technology-driven enterprises. Encouraging practical experimentation today, integrating AI into daily operations, and building unified data foundations will shape the next decade of winners. Competitors are already moving. Those who act now will define the future.