
A practical 2026 resource on building a Global Capability Center in India, and the AI and engineering capability most new GCCs are built around.
The short answer
Updated September 2026. Agility is the AI capability partner for GCCs: we build the AI, data and engineering layer, not the entity.
Why India
India hosts more than 2,100 Global Capability Centers employing over 2.3 million professionals and generating close to 100 billion dollars in annual revenue, more than 55 percent of the global GCC market, a lead no other country comes close to. In 2025 alone, GCCs took up a record share of the country's office space, and the centers set up in recent years increasingly own product and R&D, not just support work.
The draw is simple: the deepest pool of engineering and data talent in the world, strong English proficiency, mature infrastructure across Bengaluru, Hyderabad, Pune, Chennai and Gujarat, a favourable cost base (typically 40 to 60 percent lower fully-loaded cost per role than onshore), and time-zone overlap with both Europe and Asia. The newest shift is AI: in 2026 the majority of new GCCs are being built around an AI and machine-learning mandate, which is exactly the capability that is hardest to hire for at speed.
India's GCC market
Setup
Six steps from decision to a center that ships. Steps 1 to 4 are strategy, entity and people; steps 5 and 6 are where the AI and engineering capability is built.
Decide which functions the center will own, engineering, data, AI, R&D or operations, and the outcomes it is accountable for. 96 percent of GCCs launched after 2021 started with a product or portfolio mandate, not just cost arbitrage.
Direct captive for full control, Build-Operate-Transfer to de-risk the ramp, or GCC-as-a-Service to keep a partner on the operational layer. The model sets your speed, cost and how much you own on day one.
Bengaluru, Hyderabad, Pune, Chennai or Gujarat, chosen on talent, cost and function. Legal entity, compliance and office follow. This is the part specialist setup and legal partners handle.
A country or site leader and a small senior core set the culture and hiring bar. Get the first ten hires right and the center compounds; get them wrong and it stalls.
The hardest part to hire for, and where Agility comes in: senior AI and ML engineers, data platforms, generative AI and RAG, and a production delivery engine, built in parallel from week one.
Grow headcount and mandate against clear delivery and quality metrics, moving from a cost center to a strategic capability that ships product for the parent.
Operating models
How much you own on day one is a choice. These are the three common models.
You set up and run the center yourself. Maximum control and IP ownership from day one, in exchange for the most upfront effort and time.
A partner builds the team and runs it during the ramp, then transfers the entity and people to you once stable. Lower risk, faster time-to-value.
A partner keeps running the operational and delivery layer for longer while you retain the roadmap and IP. Fastest to capability, lightest to own.
Cities
The right city depends on your function, budget and talent competition.
The GCC capital, deepest engineering, product and AI talent, around a third of all activity.
Fast-growing, strong in BFSI, analytics and data, with competitive cost and infrastructure.
Engineering depth at lower cost and attrition, popular for product and platform teams.
Emerging hub for BFSI and cost-sensitive mandates, with GIFT City incentives. Agility is headquartered here.
How Agility helps
We are honest about our lane: we do not do legal, entity or real-estate setup, specialist partners handle that. What we do is stand up the AI, data and engineering layer, the hardest part to hire for, so your center delivers from month one instead of spending a year recruiting.
Embed senior AI and ML engineers in your GCC through us while you build your own bench, so the AI mandate delivers from month one.
We ship real systems, generative AI, RAG, agents and custom models, in 3 to 8 weeks, so your center shows outcomes early instead of a long discovery phase.
The data foundation an AI GCC runs on, pipelines, unified platforms and governance, built to enterprise standards.
Stand up the LLM, RAG and agent capability that most new GCCs are mandated to build, with senior engineers who have shipped it before.
Checklist
Want the AI and engineering part handled by people who have shipped it?
FAQ
Setup steps, operating models, cost, cities and where Agility fits.
A Global Capability Center (GCC), sometimes called a Global In-house Center (GIC) or captive center, is an offshore unit that a multinational owns and operates to deliver strategic work, such as engineering, data, AI, finance and R&D, for the parent company. Unlike outsourcing, a GCC keeps the talent, the IP and the roadmap in-house. India is the world leader, hosting more than 2,100 GCCs as of 2026.
Setting up a GCC in India follows six steps: define the mandate and the functions the center will own; choose the operating model (direct captive, Build-Operate-Transfer, or GCC-as-a-Service); pick a city and set up the legal entity and office; hire the founding leadership and core team; stand up the technology, data and AI capability; then scale in phases against clear metrics. Most centers reach an initial operating team within a few months, and the AI and engineering capability can be built in parallel from week one.
A focused GCC can move from decision to a working team in roughly three to six months, though timelines vary with entity setup and hiring. Cost depends on headcount, city and model: India typically delivers 40 to 60 percent lower fully-loaded cost per role than onshore markets, which is a large part of why the model has scaled so fast. A Build-Operate-Transfer or GCC-as-a-Service model lowers the upfront cost and risk by letting a partner run the ramp before you take ownership.
India hosts more than 2,100 GCCs employing over 2.3 million professionals and generating close to 100 billion dollars in annual revenue, more than 55 percent of the global GCC market. The draw is the depth of engineering and data talent, strong English proficiency, mature infrastructure across cities like Bengaluru and Hyderabad, favourable cost, and a time-zone that overlaps with both Europe and Asia. In 2026 the majority of new GCCs launch with an AI or product mandate from day one.
A direct captive means you set up and run the center yourself from day one, with full control but full upfront effort. Build-Operate-Transfer (BOT) means a partner builds the team and runs operations during the ramp, then transfers the entity and people to you once it is stable, which lowers risk and speeds time-to-value. GCC-as-a-Service keeps a partner running the operational layer for longer while you retain the roadmap. The right choice depends on how quickly you need capability and how much you want to own on day one.
Agility is the AI and engineering capability partner for GCCs. We do not sell legal, real-estate or entity setup. What we do is stand up the AI, data and engineering layer of your center fast: senior AI and ML engineers, data platforms, generative AI and RAG systems, and production delivery, either as an embedded team you hire through us or as a delivery partner that ships while your GCC ramps. For centers with an AI mandate, this is the hardest capability to hire for, and the one we build in weeks rather than quarters.
Bengaluru remains the GCC capital with the deepest talent pool and around a third of all activity, and is strongest for engineering, product and AI. Hyderabad has grown fast and is strong in BFSI and analytics. Pune and Chennai offer engineering depth at lower cost and attrition, and Gujarat (Ahmedabad and GIFT City) is emerging for BFSI and cost-sensitive mandates. The best city depends on your function, budget and talent competition.
Tell us the mandate. We will help you stand up the AI, data and engineering capability at its core, and ship real systems while your center ramps.
Book a call to scope the AI and engineering layer of your Global Capability Center, or get the details by email first. Senior engineers, production AI in 3 to 8 weeks.
A 30-minute call with a senior engineer. You leave with a scope, a timeline and a fixed estimate, usually back to you within 48 hours.
Book a call: get a scope + estimateGive us a work email and we'll send a GCC AI-capability plan and a free scope + estimate. No spam, one follow-up.