In 2024, one of the world’s biggest banking corporations silently deployed a fraud-detection paradigm in five continents. The model reduced false positives by 22%, preventing millions of dollars in operational losses. This did not happen at headquarters. It was designed, developed, and tested at the company’s Global Capability Centre (GCC) in India. However, in the books, the GCC remained a support cost. The issue of this disparity between value creation and value recognition is developing into one of the most important questions of global capability centers today. GCCs are no longer execution tools as businesses hasten on the digital transformation. They are transforming into IP-generating engines of data. The question is not whether the GCCs will be able to profit from data and intellectual property in the future, but rather how they will be able to do so on a large scale, responsibly, and safely.
Industry estimates suggest that the global GCC environment has gone beyond 1,900+ centers in India and employs more than 1.9 million professionals. The new GCC requirements have shifted to almost 65 per cent of the analytics in AI, digital platforms, and product engineering, as opposed to the pure back-office work. This change has resulted in three structural realities: These have formed the basis of GCC data monetisation and GCC intellectual property monetisation, a trend that is increasingly acquiring the boardroom’s interest.
Responsible data monetisation has been misunderstood. It is not selling raw data or revealing sensitive assets. GCC models do not occur as a result of blind commercialisation but rather via value reuse and enablement, which is controlled. In the case of GCCs, monetisation usually takes the following three forms: In both cases, measurable economic benefit is the goal rather than revenue.
GCCs are at the cross-section of scale, data and execution depth, unlike headquarters teams. In the long term, this forms monetisable assets, including: Recent enterprise surveys show that organisations that reuse GCC-built IP will have a 25-30% lower cost of digital programmes and a significantly shorter deployment time.
The increasing amount of data flowing across borders necessitates responsible data monetisation. Policies such as the EU AI Act, the changing localisation of data standards, and stricter IP governance standards have raised the stakes. In the case of GCCs, the responsibility is based on four pillars: Businesses that integrate such values at an early stage have much higher chances of scaling monetisation without risk.
To monetise in a responsible manner, major organisations are embracing the use of architectural models. This flywheel guarantees the repeatability, defensibility and compliance of monetisation.
You can’t leave technology teams to make money. GCC leaders must enable: This is a governance-based strategy, which develops trust, both among headquarters and regulators.
The business argument on GCC intellectual property monetisation is strong. Companies that proactively commercialise GCC-created IP report: These benefits are relevant in a cost-pressure margin optimisation environment.
The Global enterprises are reconsidering the operating models. GCCs are turning into value platforms and not cost centres. The more IP and data are monetised, the more The future is for those organisations that understand the first thing: not to do it carelessly, but on the contrary, monetisation is a benefit of the strategy. The question of whether global capability centres can generate monetisable value is no longer relevant. The true question is whether businesses are prepared to regulate, place trust, and extend that value into the future.
Hyderabad, Bangalore and Pune have become significant pharma innovation centres with global delivery centres of major biotechnological and pharmaceutical firms such as Novartis, Pfizer, AstraZeneca and GSK. They offer an economic benefit of calculation, a variety of scientific and technical human resources, and speedy time-to-market. On average, businesses reduce between 25-40 percent of the operational costs and increase the rate of innovation. The next-generation operations of Pharma GCC focus on advanced molecular modelling, AI/ML-based drug discovery, cloud supercomputing, and data integration platforms, as well as quantum-ready simulations. Pharma GCCs use AI to screen molecules, predict the efficacy of drugs, optimise clinical trials and aid in making data-driven decisions, resulting in smarter, faster and safer drug pipelines. Pharma GCCs will be global innovation ecosystems that are a combination of computational chemistry, generative AI, and quantum computing. They will turn into the hubs linking data science, discovery and regulatory intelligence in the global arena. Aditi, with a strong background in forensic science and biotechnology, brings an innovative scientific perspective to her work. Her expertise spans research, analytics, and strategic advisory in consulting and GCC environments. She has published numerous research papers and articles. A versatile writer in both technical and creative domains, Aditi excels at translating complex subjects into compelling insights. Which she aligns seamlessly with consulting, advisory domain, and GCC operations. Her ability to bridge science, business, and storytelling positions her as a strategic thinker who can drive data-informed decision-making.
The Change
GCC's Real-World Data and IP Monetisation

The Reason GCCs Have a Unique Opportunity to Monetise.
Why Responsibility Is the Actual Differentiator
The Responsible Monetisation Implementation Framework
Stage
Focus Area
Business Impact
Register
Early IP identification and documentation
Prevents value leakage
Isolate
Data anonymisation and sensitivity controls
Enables safe reuse
Govern
Usage rights, licensing, and access policies
Reduces compliance risk
Harden
Platformisation and standardisation
Improves scalability
Track
Continuous value and risk measurement
Sustains ROI
Leadership Enablement:
Economic Responsibility
GCCs as Enterprise Value Engines
frequently asked questions (FAQs)

Aditi