The Rise of Autonomous AI at Kyndryl

"We believe this area is going to grow and is an important aspect for us," said Sreekrishnan Venkateswaran, CTO of Kyndryl India.
Agentic AI Kyndryl
Illustration by Nikhil Kumar

Tech leaders and experts have been vocal about their predictions that AI agents will be the next big thing. Meta CEO Mark Zuckerberg recently said there could be more AI agents in the world than humans. Similarly, Google is also going big on agents with their senior developers dropping subtle hints on how AI assistants and agents will be a game-changer. 

A tech player who is already going big on this is Kyndryl.

Spinning off from IBM in 2021, Kyndryl, the world’s largest IT infrastructure services provider serving various sectors including cloud, security, network, enterprise, and applications, has been heavily investing in AI too.

“We have a lot of customers and our customers are across all verticals. They are seeking ways to ingest AI into their environments and then elicit advantage out of it,” said Sreekrishnan Venkateswaran, CTO of Kyndryl India in an exclusive interaction with AIM. He also noted that the majority of companies are using GenAI in production, not just for prototyping.

Speaking about the future of AI applications, Venkateswaran brought emphasis on how agentic AI will bring a significant shift in how things work. 

“We often use Agentic AI when mixed problem-solving approaches are required. For example, in customer engagement, the AI system directs each query to the most suitable agent based on its content. One agent might perform retrieval-augmented generation from an internal corpus, while another accesses real-time data through external APIs,” said Venkateswaran. 

The CTO explained that their collaborative workflow, where multiple agents tackle different aspects of a problem based on the query, is a prime example of Agentic AI. He emphasised that they leverage these Agentic AI patterns to effectively address several practical challenges faced by their customers.

Agentic AI is the Future

Venkateswaran explains Agentic AI as a concept that combines language models, custom code, data, and APIs to create intelligent workflows capable of solving business problems. He highlighted the significance of this development, noting AI and data to be particularly valuable in India due to its abundant data and skilled AI professionals. “We believe this area is going to grow and is an important aspect for us,” he stated.

Agentic AI represents a shift towards more autonomous decision-making systems. An “agent” in this context is a piece of code capable of perceiving its environment—through sight, sound, or text—and making decisions based on that input. 

This capability can range from simple tasks, like generating creative code and sharing it via WhatsApp, to complex functions such as managing supply chains or enhancing customer engagement systems. 

 “An agent takes the initiative and makes decisions to solve problems autonomously,” said Venkateswaran.

Venkateswaran’s illustrious career of over 28 years in technology, spending 25 years at IBM before moving to Kyndryl, stresses the importance of building broad technical skills and hands-on coding, cautioning against over-specialisation. As he puts it, “Leadership, yes, but you also need to bring in a C-level skill,” underscoring the need for both leadership and technical expertise. 

He also teaches computer science at BITS Pilani, emphasising that foundational skills like maths and algorithms remain crucial despite the industry’s evolving landscape.

Speaking about the progress in AI systems Venkateswaran said that neural networks required large datasets to learn and perform complex tasks. However, with foundational models like GPT, which are pre-trained, this requirement has been significantly reduced. 

“The human advantage in learning from smaller datasets is no longer valid,” the CTO observed. 

Nuanced AI Support

Speaking about Kyndryl’s application across domains, Venkateswaran highlights how AI has helped transform customer engagement in industries such as retail, travel and transportation, and believes AI is helping with nuanced approaches.

 “Customer engagement is much more than a Q&A with a chatbot.” He believes that to truly replicate or enhance live interactions, genAI must be adept at “understanding the sentiment associated with the text or sarcasm” and responding appropriately in the detected language.

Similarly, Kyndryl has also found strong use-cases in education, healthcare, and finance which is one of Kyndryl’s biggest focuses. “All of them [customers] ask for ways to use this new tech to solve fraud detection, anomaly detection, suspicious transactions, and so on,” said Venkateswaran. 

He also explains how adoption of generative AI in edutech surged post-COVID, with AI automating the evaluation of descriptive exam answers and creating tailored questions. In healthcare, AI is improving patient-provider connections by interpreting symptoms more effectively than traditional keyword searches.

“So any project where we have AI and data, it is usually a modern application project. And if you have Gen AI, it is like a modern application project, up on steroids. So it is not really, there is no real bifurcation between an AI app and a modern app,” said Venkateswaran. 

Kyndryl has partnered with top players including Google Cloud for developing responsible generative AI solutions and accelerating adoption by customers. “We have partnerships based on what we need from each of those partners, and then it goes back to what we can offer them with customers,” said Venkateswaran. 

Kyndryl has been rapidly expanding its operations in India expanding its base in Bengaluru. The company opened its third office in Bengaluru in April. Last month, Kyndryl launched a security operations centre (SOC) in the city for providing comprehensive support and advanced protection for cyberthreats leveraging AI. 


AI agents are predicted to be the next major technological breakthrough, with leaders like Meta’s Mark Zuckerberg suggesting AI agents could soon outnumber humans. Google also sees AI assistants as transformative game-changers. Kyndryl, the world’s largest IT infrastructure services provider, has been a key player in this space since its spin-off from IBM in 2021, focusing on AI to boost operational efficiency and innovation across sectors.

Sreekrishnan Venkateswaran, CTO of Kyndryl India, envisions AI agents, or Agentic AI, as the future of business. These intelligent systems combine language models, custom code, and real-time data to autonomously address complex tasks. Like a self-driving car that adapts without human input, AI agents handle tasks like fraud detection and customer sentiment analysis, reducing manual intervention and enhancing efficiency in industries such as finance, healthcare, and education. Agentic AI promises to revolutionize global operations by automating supply chains and procurement in e-commerce while interacting with customers. This level of automation allows human roles to focus on strategic decision-making and innovation.

As AI continues to advance, industries will become more adaptive, efficient, and customer-centric. Kyndryl’s partnerships with companies like Google Cloud underscore its commitment to responsible AI development.

Disclaimer: The opinions expressed in this expert analysis summary are solely of the AIM council members and do not reflect the views or opinions of the organization they are affiliated with.


AI agents are predicted to be the next major technological breakthrough, with leaders like Meta’s Mark Zuckerberg suggesting AI agents could soon outnumber humans. Google also sees AI assistants as transformative game-changers. Kyndryl, the world’s largest IT infrastructure services provider, has been a key player in this space since its spin-off from IBM in 2021, focusing on AI to boost operational efficiency and innovation across sectors.
 
Sreekrishnan Venkateswaran, CTO of Kyndryl India, envisions AI agents, or Agentic AI, as the future of business. These intelligent systems combine language models, custom code, and real-time data to autonomously address complex tasks. Like a self-driving car that adapts without human input, AI agents handle tasks like fraud detection and customer sentiment analysis, reducing manual intervention and enhancing efficiency in industries such as finance, healthcare, and education. Agentic AI promises to revolutionize global operations by automating supply chains and procurement in e-commerce while interacting with customers. This level of automation allows human roles to focus on strategic decision-making and innovation.
 
As AI continues to advance, industries will become more adaptive, efficient, and customer-centric. Kyndryl’s partnerships with companies like Google Cloud underscore its commitment to responsible AI development.


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Vandana Nair

As a rare blend of engineering, MBA, and journalism degree, Vandana Nair brings a unique combination of technical know-how, business acumen, and storytelling skills to the table. Her insatiable curiosity for all things startups, businesses, and AI technologies ensures that there's always a fresh and insightful perspective to her reporting.
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