The business spectrum has undergone a significant shift. GCC companies, or the Global Capability Centres that were once viewed as outsourced resources, have now evolved and emerged as the strategic decision-making centres. Amongst the several factors that are instilling this change, the rise of Agentic AI has an instrumental role to play.
Agentic AI has propelled these centres to rise from merely being support centres to autonomous engines that drive growth and innovation. Around 90% of the companies have a dedicated AI budget, and nearly 70% have dedicated AI specialist teams already. The rise of AI integration marks the dawn of the new era of Global Capability Centres.
- GCCs at the Crossroads of Transformation
Tracing back to its history, one of the reasons for establishing the Global Capability Centres was for cost arbitrage and handling routine back-end tasks. But with time, they have climbed up the value chain and have now become an integral strategic partner for the Global enterprises looking to gain a competitive edge.
Today’s GCC companies are at the forefront of digital transformation, driving initiatives in data analytics, research and development, and product development.
The growing market size of the GCC market stands as a testament to the growth. It is expected that the GCC market will reach a mark of US$413 billion by 2030. But as much as these numbers look promising, they also open a new scope of change: i.e., the adoption of AI. The GCC companies are at a crossroads; they need to adapt to the latest changes seamlessly. But this evolution has brought GCCs to a new crossroads: adapt to the AI-first economy or risk obsolescence.
- The New Mandate for GCCs: From Support to Strategic Innovation
GCCs are now working closely with the organisations to drive strategic innovation. It is not just about saving costs; the GCCs are now expected to be architects of digital transformation and drivers of business growth.
One of the key examples in this domain includes eminent names like JPMorgan, Shell, and Walmart that are already transforming their GCCs into AI-powered innovation hubs, setting a precedent for the rest of the industry.
- The Shift from Traditional AI Solutions to Agentic AI Solutions
The traditional AI is seemingly losing its relevance in the dynamic world. While the Robotic Process Automation (RPA) delivered significant efficiencies, they are no longer sufficient to meet the dynamic demands of the modern enterprise.
The traditional AI models were effective in recognising patterns and predictive analysis; today, organisations need autonomous systems capable of decision-making. Besides, the legacy systems work with human intervention, which sometimes limits their efficiency and also makes them prone to error, thus paving the way for the surge of Agentic AI.
- How Agentic AI Reimagines GCC Capabilities
Agentic AI is capable of independent thought, planning, and action to accomplish objectives. In addition to being taught to obey rules, these AI agents are also capable of complicated scenario analysis, decision-making, and even cooperation with human teams and other AI agents.
Agentic AI redefines GCC capabilities across multiple domains with its high degree of autonomy and adaptability to changing settings.
- Scaling Innovation: Agentic AI as a Force Multiplier for GCCs
In the GCC, the Agentic AI solution is a potent force multiplier for innovation. It frees up human talent to concentrate on higher-value tasks like relationship management, strategic thinking, and creative problem-solving by automating intricate, end-to-end procedures.
This cooperation between humans and AI is a significant force behind creativity and productivity. GCCs can serve as testbeds for Agentic AI, enabling quick testing, enterprise-wide deployment, and scaling of autonomous agents. Before a worldwide rollout, this allows companies to test and improve innovative concepts in a restricted setting.
- The TransOrg Advantage: Enabling AI-Native GCC Operating Models
To truly benefit from Agentic AI, GCCs need to switch to an AI-native operating model. This calls for a thorough restructuring of organisational structures, workflows, and procedures, in addition to the simple use of new technologies. TarnsOrg Analytics has been actively providing AI-driven solutions, making it one of the most trusted GCC companies in India.
The goal is to create an environment where AI is thoroughly integrated into operations, rather than being a stand-alone addition. The company’s association with Tumeryk and SambaNova Systems provides the clients with a competitive edge in advanced areas like GenAI implementation, full-stack model development, and optimised cloud migration.
Through its efficient services, TransOrg has been able to help companies reduce their operational cost by 30%. The company’s compliance with global security and privacy standards, including ISO 27001 and GDPR, ensures complete integrity and sovereignty.
- Rewiring the GCC Workforce for Agentic Collaboration
In competitive times like today, the adoption of AI is not an option; the GCC workforce must upskill and gain expertise in data science, machine learning, and deep learning.
An EY India poll estimates that over the next five years, the AI transformation in the GCC companies would increase productivity in the Indian IT sector by up to 45%, with upskilled personnel accounting for the majority of these gains.
The GCCs are making significant investments in reskilling and upskilling initiatives to close the skills gap. According to NASSCOM, more than 65% of GCC countries in India intend to retrain their workforce in artificial intelligence by 2026. The goal is to have a hybrid workforce in which AI and humans work together harmoniously, with AI managing execution and people handling strategic oversight.
- Moving Beyond RPA and Legacy Automation Tools
With the move to Agentic AI, RPA, and other old-school automation techniques are no longer competent. RPA is not as intelligent or adaptable as Agentic AI, but it is nonetheless helpful for automating simple, repetitive tasks. Because Agentic AI can handle more complex, dynamic, and unpredictable events, it is a more powerful tool for end-to-end process automation.
With this confluence of RPA and Agentic AI, businesses can now combine the cognitive capabilities of AI with the effectiveness of rule-based automation.
- Governance and AI Risk: Getting It Right from the Start
While the integration of Agentic AI is the need of the hour and the inevitable future, it also presents specific challenges. One of the key challenges is the biased system and the vulnerability of information. Hence, the organisations need to take the proper steps at the nascent stage. From establishing clear laws and protocols of work to adhering to laws like GDPR, companies also need to develop a stringent governance framework.
- The Rise of Agentic AI and Its Integration with Operations of the Global Capability Centres
As mentioned above, the AI solutions have fueled the growth of the Global Capability Centres. As the GCCs continue to evolve from mere operational centres to strategic drivers, the role of AI becomes even more profound. Many companies have tasted success with this; supporting this a Deloitte survey, Agentic AI usage is rising, with 25% of organizations using Gen AI in 2025, and this share is expected to reach 50% by 2027.
For instance, many GCC companies in India are assisting financial institutions with the implementation of AI solutions that enhance operational effectiveness and regulatory compliance.
GCCs enable pharmaceutical businesses and healthcare providers to use AI-powered automation solutions in the healthcare industry, which can improve patient care, reduce operational inefficiencies, and speed up drug discovery.
The role of Agentic AI extends beyond healthcare and finance; the retail segment is also leveraging it to enhance customer experience, manage inventory, and tailor the shopping experience for customers.
- Conclusion: From Talent Hub to AI-Powered Growth Engine
The GCCs are evolving; what once started as an operational hub has emerged as strategic incubation centres driving key decisions and strategies across the industry spectrum. The power of AI is further fuelling this growth by automating the processes and enhancing efficiency.
The message is obvious for corporate leaders: the GCC’s future depends on its capacity to adopt this new generation of intelligent automation. Organisations can unleash the full potential of their GCCs and set themselves up for success in the AI-driven economy by making targeted investments in Agentic AI, encouraging innovation, and retraining their workforce for human-AI collaboration.
FAQs
- How can we scale Agentic AI across functions?
To scale Agentic AI across functions, organisations need to make the ideological shift; they need to move from being an isolated experiment centre to a strategic partner. This includes the adoption of new technologies like Agentic AI that can help automate the process and improve accuracy.
- What ROI can we expect from Agentic AI in GCCs?
Global Capability Centres (GCCs) can expect a significant return on investment from Agentic AI. This comes from increased operational efficiency, which also reduces the cost by 30-60%. TransOrg Analytics has helped several industries in finance, healthcare and other sectors to reap its benefits, and helped them reduce the operational cost by 30%.  Â
- Which areas benefit most from Agentic AI?
The relevance of Agentic AI is not limited to a particular industry; rather, it is omnipresent. From food to finance, media to IT, every sector can integrate Agentic AI to automate and streamline repetitive tasks. With automation, companies can work more efficiently, reduce errors, and make more accurate decisions that drive profits and lower costs.
