Most GCCs are cost centers for enterprises

‍The numbers are staggering. India alone hosts over 1,700 global capability centers employing 1.9 million professionals and generating $64.6 billion in annual revenue. Poland runs 2,000+ business services centers with 480,000 employees and $42.3 billion in knowledge-service exports.

Yet according to a KPMG survey of 200 multinational GCCs, 55% of these centers remain stuck in the first two maturity stages. They are cost centers dressed in strategic language.

They process tickets. They follow instructions. They save money on labour arbitrage.

And that is where they stop.

The organisations getting GCCs right, the 15% that have reached the innovation-hub tier, are making three fundamentally different decisions about model, mandate, and maturity.

The GCC maturity problem nobody talks about

Global capability centers follow a well-documented four-stage lifecycle:

Stage 1: Foundation.

Operational execution. Standardised processes. The GCC does what headquarters tells it to do.

Stage 2: Consolidation.

Cross-functional process integration. Shared platforms. The GCC connects workflows across business units.

Stage 3: Optimization.

Analytics, automation, and agile product teams. The GCC proactively solves problems instead of waiting for instructions.

Stage 4: Innovation Hub.

The GCC co-creates intellectual property, incubates products, and feeds new business models back to global leadership.

Fifty-five percent of GCCs sit in Stages 1 and 2.

Thirty percent have reached Optimization.

Only 15% have made it to Innovation Hub.

Most organisations launch a GCC expecting Stage 4 outcomes while building a Stage 1 structure.

EY's research on GCC value delivery identified the root cause: if your organisation's processes are fragmented and ownership is unclear at headquarters, a GCC amplifies that dysfunction rather than solving it. The center mirrors your worst habits at a lower cost.

Three decisions that separate the best 15% GCCs from the 55%

1. Model selection: Match structure to intent

The first decision is structural. Three models dominate the market, and each serves a different purpose:

Captive (Build-Own). You set up the entity, hire the team, and own every decision from day one. This gives maximum control but demands significant capital, local expertise, and patience. If you lack in-country experience, the first 12–18 months are spent learning lessons that partners already know.

Build-Operate-Transfer (BOT). A partner establishes and runs the center, then transfers ownership over 18–36 months. BOT combines speed to market with eventual ownership. It works well for organisations that want a permanent center but cannot afford the learning curve.

Hybrid. A partner handles infrastructure, HR, and compliance while your leadership directs the technical work. This model suits organisations expanding into new markets or testing demand before committing to full ownership.

The mistake most companies make is treating this as a cost decision.

Inductus GCC's 2026 analysis found that CXOs who evaluate models purely on cost predictability end up in Stage 1. Those who evaluate on strategic control and scalability trajectory are far more likely to reach Stage 3 or 4 within three years. The model must follow the mission as well as the budget line.

2. Empower or micromanage

The second decision is operational. Most GCCs fail to mature because the headquarters treats them as execution arms rather than decision-making entities.

EY's research puts it plainly: "Should the GCC simply follow instructions and perform repetitive tasks, or can it add value by driving the organization's transformation agenda?"

When the answer is the latter, the GCC leader must be able to make decisions, control budget allocation, and prioritize initiatives.

The Zinnov-NASSCOM India GCC Landscape Report confirms that GCCs operating with transformation mandates are 1.3 times more likely to drive enterprise-wide change and 1.5 times more invested in deep technology domains like AI, cloud, and cybersecurity.

This is where organizational culture becomes a problem.

A GCC in Bengaluru or Warsaw that must escalate every architectural decision to San Francisco will never move beyond Stage 2. The time-zone delay alone kills the iteration speed that makes these hubs valuable.

Practical empowerment in a GCC looks like this:

• GCC leadership owns a P&L, not just a cost centre budget
• Engineering leads in the GCC participate in global product roadmap decisions
• The GCC runs its own hiring pipeline against locally relevant standards
• Performance metrics include innovation output (patents, product launches, architecture decisions), not just ticket throughput and SLA compliance

3. Maturity roadmap and stage sequencing

You cannot skip stages.

Organizations that launch a GCC expecting immediate innovation output by hiring AI engineers before establishing reliable delivery processes produce neither innovation nor reliable delivery. Stanton Chase's analysis found that GCCs rarely fail dramatically.

They just stop creating value. Efficiency metrics look acceptable while strategic contribution drops.

The maturity roadmap requires honest assessment across five dimensions: process efficiency, digital enablement, talent sophistication, ecosystem connectivity, and value creation. Each dimension must reach a threshold before the next stage becomes viable.

A realistic timeline for a maturing GCC looks similar to this:

• Months 1–6: Foundation. Establish delivery processes, hire the core team, build infrastructure, integrate into corporate systems.
• Months 6–18: Consolidation. Standardize cross-functional workflows. Build shared platforms. Establish quality baselines.
• Months 18–36: Optimization. Introduce automation, analytics, and agile squads. Shift from reactive to proactive problem-solving.
• Month 36+: Innovation Hub. The GCC proposes initiatives, incubates products, and functions as a peer to headquarters.

Trying to compress this into 12 months will just create problems, while trying to stay in Stage 1 for five years is a waste of investment.

Your GCC location is a portfolio decision

The GCC conversation often begins with location, LatAm, East Europe or Asia. But we believe it’s the wrong starting point.

India's ecosystem is unmatched in scale. Six cities host 92% of all GCCs, with Bengaluru alone running 880+ centers. The UK-India corridor represents a maturity benchmark: 130+ UK firms operating 250+ GCCs with 200,000+ professionals. The talent pool is deep, the infrastructure is established, and AI and engineering specialization is accelerating.

Poland offers a different advantage. The business services sector employs 480,000 people across 2,000+ centers, contributing 5.7% of GDP and $42.3 billion in exports. EU regulatory alignment, a 1–2 hour time-zone overlap with Western Europe, and deep engineering talent make Poland the preferred choice for European enterprises that need cultural proximity and GDPR-native operations.

Latin America (LatAm) is the critical third pillar in this global strategy, particularly for North American operations. Brazil, Mexico, and Colombia are part of the growing global talent ecosystem, shifting engineering and operational work.

Maxima is already actively engaged in LatAm, pursuing opportunities for multi-cloud solutions in verticals such as banking and e-commerce. Its primary advantage is nearshore proximity, offering significant timezone overlap to support North American clients that need a local feel and language support for Spanish and Portuguese markets.

The best GCC strategies treat location as part of a portfolio where each location amplifies a different capability.

Strategic growth and the future of AI-augmented GCCs

The global capability center market will grow regardless of what any individual company does. AI will likely reshape the market, but an AI-augmented workforce, spread across the world, will always be an asset you can leverage.

GCCs work for the organizations that build them correctly. The question is whether your GCC will reach its intended maturity stage or join the 55% stuck processing tasks at a lower cost.