Infosys launches AI model to speed up GCC setup

Infosys unveiled an AI-first model to accelerate Global Capability Centre setup and modernisation. The framework uses three core platforms to create AI-driven hubs.

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Punam Singh
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Infosys introduced a new AI-first model designed to help large enterprises quickly establish and modernise their Global Capability centres (GCCs). This specialised offering shifts the role of GCCs, moving them past basic operations and into dedicated, AI-powered centres for enterprise growth.

The move comes as companies seek to redefine their captive units as strategic assets that provide agility and a competitive advantage in a world driven by artificial intelligence.

The AI-powered operating system

The AI-first model provides a structured, full-lifecycle path for GCC development, covering strategy, entity formation, talent acquisition, and operational readiness. Crucially, the model embeds AI capabilities across all GCC functions from the start.

Infosys created this framework by bringing together three of its core artificial intelligence platforms. The Infosys Agentic Foundry focuses on building and scaling production-grade AI agents for specific business tasks. EdgeVerve AI Next acts as a unified fabric designed to run applied and agentic AI at enterprise scale. Finally, Infosys Topaz infuses AI-first services and solutions throughout the entire GCC lifecycle.

By unifying technology, talent, and operational capabilities, the model allows clients to rapidly build centres that execute global mandates.

End-to-end support and flexibility

The offering is based on Infosys’ history managing more than 100 GCC engagements for global clients. This background helps address common challenges businesses face when attempting to expand or upgrade their captive operations. The program supports the complete lifecycle of a GCC, including strategy development, site selection, entity establishment, recruitment, and operational launch and scale.

Furthermore, the model offers clients flexible operating arrangements. Companies can choose options like Build-Operate-Transfer (BOT), assisted builds, joint ventures, or partner-hosted setups, matching the structure to their strategic needs.

Satish H.C., Executive Vice President and Chief Delivery Officer at Infosys, stated that the company’s approach and global delivery capabilities position it to help clients realise new value. He noted that the dedicated GCC practice gives the speed and strategic depth required for the next wave of corporate change.

Industry validation and early use cases

The effectiveness of incorporating AI directly into GCC structures appears in client collaborations.

For Danske Bank, the financial company utilised the expertise to embed AI directly into its software delivery process. This included developing reusable Generative AI platforms used across the bank, leading to the deployment of multiple GenAI use cases in domains like customer service. Similarly, Infosys helped Lufthansa Systems establish a dedicated GCC. This centre focuses on using AI and data-driven solutions to enhance aviation safety, improve operational processes, and upgrade the customer experience.

Hrishi Raj Agarwalla, Vice President of GCC research at Everest Group, commented on the model, stating that it combines technology partnerships, AI investments, and a broad talent model to support enterprises through the GCC lifecycle, from setting up new centres to modernising existing ones.

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