Infosys has launched a new AI-First GCC Model designed to help global enterprises build, scale and modernise their Global Capability Centres (GCCs) as AI-driven hubs for innovation. The company says the model consolidates technology, talent and operating frameworks into a single blueprint to accelerate GCC transformation in an era where AI is rapidly reshaping enterprise workflows.
A Shift from Operations Support to Strategic Innovation
Infosys has worked with more than 100 GCCs across sectors such as aviation, BFSI, retail, and digital commerce. The company says enterprises are now moving away from traditional offshore delivery setups and towards AI-native operating centres that drive long-term competitiveness.
The new AI-first framework is built to help organisations reposition their GCCs as strategic growth engines, rather than back-office extensions. It addresses common challenges around scale, talent, speed, and production-grade AI deployment.
Core Components of Infosys’ AI-First GCC Model
The offering integrates multiple layers of Infosys’ AI and engineering capabilities, including:
Infosys Agentic Foundry for developing and scaling enterprise-grade AI agents
EdgeVerve AI Next as the unified platform for applied and agentic AI
Infosys Topaz to infuse AI-first services across the GCC lifecycle
GCC lifecycle management, including strategy, entity setup, recruitment, operations and change management
Flexible operating models, such as Build-Operate-Transfer, joint ventures, assisted builds and partner-hosted setups
Digital learning and talent pipelines through Infosys Springboard and corporate university programs
Infosys says this end-to-end structure helps enterprises shift from experimentation to full-scale AI adoption across business functions.
Enterprise Examples: Lufthansa Systems & Danske Bank
Recent engagements illustrate how GCCs are evolving into high-impact innovation hubs:
Lufthansa Systems is co-developing aviation IT products using generative AI capabilities from Infosys Topaz, focused on sustainability, safety and customer experience.
Danske Bank reported that its Infosys-run GCC is central to its AI-first strategy, embedding AI across software delivery, risk, compliance and frontline operations.
Analysts at Everest Group note that Infosys’ approach brings together infrastructure, AI investments, innovation labs, and a broad talent model, giving enterprises a structured path across the entire GCC lifecycle.
Addressing the New Wave of GCC Challenges
As enterprises scale AI-based workflows, GCCs must adapt to:
Rapidly changing AI skill demands
Transition from support roles to AI-enhanced strategic roles
Need for production-grade agents, not prototypes
Rising expectations for speed, autonomy and business ownership
Integration of enterprise-wide AI platforms and data pipelines
Infosys positions its new model as an answer to these challenges by giving enterprises a pre-built, AI-ready foundation rather than piecemeal transformation efforts.
Building a Future-Ready Talent Base
The new model also strongly emphasises talent development. Infosys plans to leverage its training ecosystem — including internal academies and Springboard — to create AI-skilled GCC workforces that can meet enterprise expectations for scale and reliability.
The company says its AI-first GCCs will be equipped to handle end-to-end product engineering, platforms, analytics, and next-gen operations, supporting global mandates for innovation and transformation.
A Unified Blueprint for the GCC 4.0 Era
With enterprises moving from isolated AI pilots to full-scale deployment, Infosys believes GCCs must evolve into autonomous, innovation-driven teams capable of supporting global growth. The AI-First GCC Model is designed to help organisations transition into this next phase with speed, structure and predictable outcomes.
By combining AI platforms, lifecycle management, flexible operating models and deep domain experience, Infosys aims to define the standard for next-generation GCC transformation.
