As enterprises race to adopt artificial intelligence (AI), many are still stuck with operating models designed for human scale. Agentic AI platform Supervity is attempting to solve what it sees as a gap, with companies deploying AI tools, but not redesigning operations around AI execution.
“We started Supervity with the idea that there is software, there is services, but there has always been a disconnect between both of them. Enterprises buy software and then employ people to operate that software,” Vijay Navaluri, co-founder of Supervity told ETGCCWorld.
“AI can be the bridge where it becomes both the car and the driver together. These AI employees are self-driving for specific operations–finance, HR, procurement, accounting–while humans stay in command and governance. That is what we mean by an AI workforce,” he added.
One of its core offerings includes helping companies automate repetitive and manual business tasks using intelligent AI agents. Instead of just offering another automation tool, it provides ready-to-use, plug-and-play AI workers that can operate across systems and complete tasks on their own.
India plays a foundational role in this strategy. The company runs major engineering and deployment teams out of India, with Mumbai emerging as a core enterprise gateway.
“Our India teams are not just delivery teams. Our engineering is heavily concentrated in India, where we are building a lot of our core product capabilities and forward deployment engineering. Mumbai is becoming our enterprise gateway for global customers. This is about building the next generation of AI operations from India,” Navaluri said.
The company today operates across manufacturing, financial services, healthcare and government sectors in over 20 countries. The teams are deeply involved in building, and scaling AI-led operational systems, particularly in government and public infrastructure use cases.
At the World Economic Forum Annual Meeting 2026 in Davos last month, Supervity signed an MoU with the Government of Maharashtra to establish an AI AI GCC hub in Mumbai’s Bandra-Kurla Complex (BKC).
The hub is positioned as an applied agentic AI research and innovation centre, and is already operational, Navaluri said.
“The BKC hub is live and designed as an open innovation environment where enterprises can walk in with a role they are hiring for and experiment with AI employees in a one- or two-week cycle. Our goal is to make it a global reference point for AI-led GCC models,” he explained.
Besides Mumbai, the company is also planning to set up a product engineering hub in Andhra Pradesh.
The center will allow enterprises to safely design multi-agentic AI employees across functions such as finance, procurement, compliance, supply chain and customer operations, while ensuring governance.
As part of the collaboration, Supervity will also work with the state government to build AI-first operating frameworks aligned with global regulatory and compliance standards, while also fueling the upcoming pool of AI talent.
In parallel, the Maharashtra government is also exploring the adoption of AI-led operating models across 48 state government departments, with the objective of building an AI GCC framework.
This development comes as the Maharashtra government in October rolled out its GCC Policy 2025, positioning the state as a preferred destination for multinational companies looking to set up innovation and technology hubs in India.
The policy targets investments of ₹50,600 crore and the creation of four lakh high-skilled jobs, offering a mix of fiscal and non-fiscal incentives to companies establishing GCCs in the state.
A major pillar of the MoU sits at talent creation. Supervity has committed to training up to 25,000 ‘forward deployed engineers’, which includes hybrid professionals who combine business process understanding with AI system configuration skills.
“The world doesn’t just need more software engineers anymore. It needs forward deployment engineers…people who understand business processes and also know how to configure and govern AI systems. These are some new roles that firms need to focus on,” Navaluri said.
“Through our partnerships with universities, we are building structured programmes to train this talent. If India wants to lead in enterprise AI adoption over the next five years, this skill set has to be built now,” he added.
In India, the company’s local teams are playing a central role in building and deploying some of its most critical public-sector solutions.
It is also working with RailTel and other central government bodies on AI-led governance initiatives, including AI command centres for procurement and tendering. The forward deployment teams are helping customise these systems for Indian regulatory frameworks, integrating them with existing government platforms.
Globally, Supervity is also working with US state governments, with plans to expand its operations in West Asia and Japan.
“For the first time, governments are thinking AI-first because they understand sovereignty and transparency are at stake. We believe India can move from being an IT services hub to becoming the AI operations hub for the world… and Maharashtra is the starting point,” he said.
At a time when AI centres are increasingly at the heart of GCC conversations, the Mumbai hub is intended to serve as an early example of how enterprises may structure their operating model in a future that’s AI-led.
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