Infosys has announced the launch of its AI First model for Global Capability Centers, a framework designed to help multinational organisations transform their GCC operations into innovation engines. The company said the approach focuses on using enterprise scale AI systems to modernise processes, reduce operational complexity and accelerate product and capability development for global clients.
GCCs, also known as Global Capability Centers or Global In-house Centers, have grown significantly in India over the past decade. According to industry estimates, India hosts more than 1,600 GCCs that support sectors such as banking, retail, telecom, manufacturing, pharmaceuticals and technology. With companies increasing their focus on digital transformation, GCCs have evolved from cost optimisation units into global hubs for engineering, automation, data operations and AI development.
Infosys stated that its new model is aligned with this shift, positioning AI as the central driver of productivity, decision making and capability building across GCCs. The company highlighted that enterprises are prioritising outcomes such as faster innovation cycles, lower operational costs, improved accuracy in decision processes and real time analytics. Infosys said the AI First model is built to integrate these expectations through a combination of architecture, platforms and industry solutions.
As part of the initiative, Infosys has developed blueprints and playbooks that organisations can adopt to set up new GCCs or expand existing ones. These include domain specific accelerators, generative AI tools, infrastructure models and governance frameworks that help companies move quickly from pilot stages to scaled adoption. The company said the framework can be customised for industries such as energy, retail, financial services, life sciences and manufacturing.
The company also noted that GCCs are increasingly being mandated to deliver innovation in areas such as customer experience personalisation, intelligent operations, cybersecurity automation and predictive analytics. Infosys said its model addresses this by embedding agentic AI, large language models and cloud native systems into core business workflows.
Infosys stated that the new framework is supported by its AI platform, Topaz, which provides tools for generative AI development, process automation, data modernisation and enterprise model tuning. Through this platform, GCCs can deploy solutions for tasks such as code generation, service operations, employee support, knowledge retrieval and workflow orchestration. The company said this reduces time spent on manual processes and increases the ability of teams to focus on strategic work.
According to the company, GCCs using the new model can also implement AI driven governance and compliance layers to ensure responsible deployment of models. Infosys noted that this capability is essential for regulated industries, especially those with large operational footprints in India and Asia Pacific markets.
Industry analysts noted that the timing of the announcement is aligned with a wider shift in how multinational corporations are rethinking their global operations. Reports from various consulting firms have highlighted a rise in GCC investments focused on AI adoption, cloud engineering and platform modernisation. With increasing demand for enterprise AI capabilities, companies are searching for ways to reduce experimentation cycles and accelerate real world implementation.
Infosys added that its AI First GCC model includes talent development components aimed at upskilling employees in AI engineering, prompt design, model evaluation and automation architecture. The company said it is working with global clients to create role based learning paths that can help large teams transition into AI fluent workforces. This includes training programmes delivered through Infosys’ digital learning platforms.
The company also noted that GCCs are expected to play a critical role in advancing enterprise wide AI agendas in 2025 and beyond. With organisations increasingly shifting to hybrid work models and distributed engineering teams, GCCs are being positioned as key nodes for AI experimentation, rapid prototyping and global rollout of digital products.
Infosys said the model has already been implemented with select enterprise clients, helping them accelerate time to market for new capabilities. Although specific names were not disclosed, the company stated that early adopters have reported gains in operational efficiency, data driven decision making and automation scale.
Industry observers pointed out that the move strengthens Infosys’ position in the evolving GCC market, which is projected to grow steadily driven by AI spending. With India emerging as the world’s largest hub for GCC operations, companies like Infosys are competing to offer end to end AI transformation services.
The company said it will continue expanding the model through new AI partnerships, infrastructure capabilities and industry solutions that help GCCs move toward fully autonomous workflows. With growing interest from sectors such as retail, telecom, energy and healthcare, Infosys expects the model to be a significant driver of demand for its AI and consulting services.