At AIM’s flagship event, MachineCon GCC Summit 2025, Pavitar Singh, CEO and co-founder of UnifyApps, and Ramaswamy PV, EVP and global CIO of Virtusa, explored what it means to move beyond GenAI adoption and become AI-native.
GenAI is Not the Destination
Singh opened with a reflection on speed. “What the internet took almost 23 years, we have achieved with LLMs in less than three years,” he said, noting the breakneck adoption curve of large language models.
The shift is not about adopting AI tools but about changing how businesses fundamentally operate. “AI nativity is about asking, ‘If you were to start this business today, how would you do it differently using AI agents?’” he explained.
From POCs to Real Transformation
Meanwhile, Ramaswamy criticised surface-level use cases. “We are picking up small content production use cases. That is just like scratching the surface.” Instead, he urged companies to think beyond deterministic processes and look at areas that were previously impossible to automate.
Citing JPMorgan Chase as an example, he said, “They are talking about 600 use cases…These are not random POCs…Every single board member to the facility manager was trained on AI fundamentals.”
This training-first approach is something Virtusa implemented with Kellogg’s and eventually with JPMorgan. Ramaswamy said that it led to better collaboration and the development of relevant solutions.
Redefining the Role of the Employee
Traditionally, software has been used as a “system of record”, Singh said. “It never did a unit of work.” Scaling meant hiring more people. However, the equation changes with AI agents.
“Every employee can run a team of AI agents,” Singh explained. He added that the role of junior developers who used to write code will be taken over by AI agents, while senior engineers will review the AI’s work. This model creates an exponential scale rather than a linear productivity.
Singh described the AI-native employee as “a higher-order thinker” who delegates the execution to agents. “You’re not doing the job. You’re getting the job done by the agents.”
“Domain expertise will be the currency of the future. Mediocre and average intelligence will be handled by AI agents,” he added.
Ramaswamy explained this using an analogy—just as auto-rickshaws replaced hand-pulled ones, AI will not remove people but elevate them. “A man is still driving those autos. It’s just that he’s enabled.”
Avoid Using AI for What You Already Do Well
Singh urged the audience to refrain from using AI for processes that already work. “You should not be using LLMs to count Rs in strawberries. You have a calculator for that.” Instead, he said, “Do the use cases which were not possible before.”
He shared an internal use case where AI agents go through the last 24 hours of customer issues, identify patterns and inform engineers in near real time. “That was never possible before manually.”
While Virtusa explored multiple OpenAI, Gemini, Anthropic, among others, the process became chaotic. Ramaswamy said this led to a rigorous POC with UnifyApps. “Now, I have a very simplistic solution,” he said. “It’s like a bathroom shelf, everything in its place.”
What Agentic AI Really Is?
To demystify the concept of agentic AI, Singh described it as a simple loop: a language model, a set of instructions, and a set of tools. “It plans the sequence in which it runs the tools, and that’s it. You govern it, evaluate it, and improve it.”
“It’s like going to a restaurant. One person takes the order, another cooks, and another serves. That’s what agentic AI multiple agents working together to get something done,” Ramaswamy added.
“AI is not here to replace humans,” Singh said. “It’s here to help us do what was not possible before. We are not competing with humans. We are moving humans to a higher order of thinking.”
UnifyApps, an enterprise AI platform focused on building agentic AI infrastructure, drew attention for its unique approach to enabling AI nativity across global enterprises through Indian GCCs.
The company advocates a Build-Operate-Transition (BOT) model, designed to offer a risk-mitigated path to scalable AI adoption. Its platform provides a full-stack solution, including no-code agent builders, automation tools, AI-ready applications, and data readiness capabilities.
UnifyApps stands out for offering a full-stack approach to AI enablement that goes beyond just automation or development. The platform supports the entire lifecycle—from data ingestion and processing to deploying agents and integrating them into enterprise systems.
It includes a no-code AI agent builder for business teams, an automation builder to manage intelligent workflows, an application builder for quickly developing internal or customer-facing AI apps, and data readiness tools that prepare enterprise data for use with large language models.
‘Without India, AI Strategy is Incomplete’
In a separate interview during the summit, Goutam Behera, director of solution consulting at UnifyApps, offered a broader perspective on India’s role in the global AI narrative.
“Without India, any AI strategy anywhere in the world is incomplete today,” Behera stated. His remarks align with broader industry sentiment that India’s GCCs are fast becoming centres of AI development, innovation, and execution for global enterprises.
Manas Das, representing India GCC leadership for UnifyApps mentioned about the metamorphosis of GCCs during the event. “Global MNCs entered India as captive centers, evolved into GCCs through Global Business Services, and now, powered by AI, are poised to become the enterprise’s core innovation hubs.”, he said.
Enabling Scalable and Responsible AI Adoption
Attendees at MachineCon noted that UnifyApps’ emphasis on a risk-free, scalable adoption model resonates with the practical challenges faced by large enterprises. The BOT framework ensures that AI initiatives can be launched and scaled without disrupting existing operations, while giving enterprises full ownership of their transformation journey.
Analysts observing the event highlighted that UnifyApps’ growing traction with technology-first organisations like Virtusa may be an early indicator of how AI platforms will be adopted in enterprise environments over the next decade.
Ramaswamy summed it up with a simple call to action. “Be AI-native. That’s where the real advantage will be.”
