For years, India’s Global Capability Centre story was built around a simple proposition: scale, talent and operational efficiency.
Global enterprises established centres in India to access a deep technology talent pool, run large technology operations and execute business processes at a competitive cost.
That model is changing.
The emerging generation of GCCs is being asked to do something considerably more consequential — build and own the technology that global enterprises depend on.
This raises a fundamental question:
When does a centre created to support a global enterprise become one of the places where that enterprise’s future is actually being built?
Ramya Parashar, COO, MiQ, believes that transition is already underway. The evolution, she argues, has moved from scale to operational excellence and is now entering a phase where India’s GCCs are increasingly responsible for core technology, platforms and AI systems.
The End of the Traditional Delivery Centre
The original GCC model was largely execution-oriented.
Global headquarters would establish the strategy, architecture and roadmap, while Indian teams would translate those plans into technology and operational delivery.
That distinction is becoming increasingly blurred.
A centre that merely executes a roadmap created elsewhere has a fundamentally different mandate from one that owns architecture, engineering decisions and the evolution of a global platform.
MiQ’s Bengaluru Centre of Excellence illustrates this evolution. Established in 2012 as a delivery function, it has developed into an engineering, AI and data-science hub supporting systems used across global markets.
The difference is important.
The value of a GCC is no longer determined simply by how much work it can absorb.
It is increasingly determined by how much responsibility the organisation is willing to place in its hands.
AI Is Moving the Value Upstream
Artificial Intelligence could accelerate this transformation.
At first glance, AI appears to threaten the traditional GCC model because automation can eliminate repetitive development and operational tasks.
But there is another side to the equation.
When repetitive work becomes automated, the value of people who understand the systems underneath that automation increases.
An AI system still needs to be:
- Architected
- Integrated
- Secured
- Governed
- Tested
- Continuously improved
- Connected to real business objectives
Someone also needs to decide when an AI system can be trusted and when human intervention is necessary.
This changes the role of the GCC.
Instead of simply providing technology labour, the centre can become responsible for the intelligence layer of the enterprise.
From Execution to Enterprise Ownership
The most significant change may therefore not be technological at all.
It is organisational.
When an Indian GCC starts making architecture decisions, designing AI systems and determining how global technology platforms evolve, it begins to occupy a different position within the enterprise.
The distinction between headquarters and delivery centre becomes less meaningful.
This is particularly relevant for AI because AI development often requires engineering, data science and product teams to work closely together and iterate quickly.
Traditional organisational structures that separate these functions across geographies can slow down this process.
India’s GCCs therefore have an opportunity to move closer to the centre of enterprise decision-making.
The question changes from:
Can India execute the technology strategy?
to:
Can India help define it?
Bengaluru’s Role Is Changing Too
The evolution of MiQ’s Bengaluru operations provides an example of this broader shift.
The centre is involved in engineering and data architecture for Sigma, MiQ’s platform, rather than simply implementing a roadmap developed elsewhere.
Sigma operates across more than 600 data feeds and 2.5 petabytes of data through a Databricks-based architecture, with Bengaluru playing a significant role in its engineering and data infrastructure.
This type of responsibility changes the economics of a GCC.
The centre is no longer simply a cost or delivery unit.
It becomes a strategic technology asset.
The New GCC ROI Test
Greater responsibility also creates greater accountability.
AI investments can no longer be justified simply by demonstrating that a model works.
Enterprises increasingly need evidence that AI produces measurable business outcomes.
That means asking:
Does it improve a real business metric?
Is the improvement repeatable?
Does it outperform what existed previously?
Can it operate reliably across markets?
Can it meet governance and security requirements?
These questions are becoming more important as AI moves from experimental pilots into production environments.
MiQ says Sigma has powered more than 40,000 campaigns for over 2,300 advertisers since launch. The company also reports controlled A/B testing in which Sigma campaigns delivered $2.22 in value for every dollar spent, based on incremental reach, conversions and cost efficiency.
The larger lesson for GCCs is straightforward:
Strategic ownership without measurable business impact is not enough.
Governance Becomes Part of the GCC Mandate
There is another consequence of this transition.
As GCCs take ownership of more powerful AI systems, governance can no longer remain someone else’s responsibility.
Security, responsible AI, model governance and trust frameworks increasingly become part of the technology centre’s mandate.
This represents a significant change.
Earlier, an Indian centre could potentially focus primarily on implementation while governance and strategic decisions remained at headquarters.
That becomes much harder when the centre itself is designing and operating systems that directly influence the global enterprise.
The next generation of GCC leaders therefore needs to understand not only engineering and AI, but also risk, governance and accountability.
India’s GCC Advantage Is Evolving
India’s first major GCC advantage was scale.
The second was operational excellence.
The emerging advantage is more difficult to measure.
It is the ability to:
Conceive → Build → Govern → Operate → Evolve
technology that a global enterprise cannot afford to lose.
That is a fundamentally different proposition from traditional outsourcing.
It places India much closer to the core of enterprise innovation.
What Happens to the GCC Model Next?
If this transition continues, the phrase “Global Capability Centre” may eventually become inadequate.
A centre that designs global platforms, owns AI architecture, develops enterprise products and participates in strategic technology decisions is no longer simply a capability extension.
It is part of the enterprise’s technology leadership structure.
That could have significant implications for India’s technology ecosystem.
GCCs may increasingly compete with product companies for senior engineering talent.
They may create more intellectual property within India.
They may establish global technology platforms from Indian engineering centres.
And they may increasingly become locations where major enterprise technology decisions originate rather than merely where those decisions are implemented.
The Real Question Is No Longer Where Work Happens
The GCC story is ultimately becoming less about geography and more about ownership.
The important question is not whether a company has moved technology work to India.
The more important question is:
What decisions has it trusted India to make?
If the answer is architecture, AI, platforms, product engineering and technology strategy, then the traditional definition of a GCC begins to break down.
India’s next generation of GCCs may therefore not be defined by how much global work they execute.
They may be defined by how much of the global enterprise’s future they help create.
And that is perhaps the point where a GCC stops being just a GCC.
