HCLTech Launches Nano GCC Model With AWS to Accelerate AI-Focused Operations for Enterprises

HCLTech and AWS Partner on Compact AI Center Model

HCLTech has unveiled a nano Global Capability Center offering built on AWS, marking a shift in how enterprises approach AI-focused operations1

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. The nano GCC model is part of HCLTech's GCC 360 suite and combines the company's GCC advisory capabilities with AI platforms including AI Force2

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. AWS will provide cloud infrastructure, agentic AI services and joint go-to-market support to accelerate delivery2

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. The initial rollout will occur across the Asia Pacific region, delivered through HCLTech's India-based delivery organization with support from its Center of Excellence in Lucknow1

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Targeting Two Enterprise Segments

The AI-powered nano Global Capability Center targets two distinct groups of companies looking to establish or expand AI capabilities1

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. First, enterprises with existing GCCs operating conventional work can use a hub-and-spoke model anchored at HCLTech's Lucknow campus to drive AI-led transformation without disruption2

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. Second, mid-market companies without an in-country presence can establish an India foothold without setting up large centers1

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. Both scenarios allow organizations to begin with targeted scope, establish AI-native operating models and reduce setup cycles while demonstrating value before scaling progressively2

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Compact Teams Replace Traditional Scale Models

Unlike traditional GCC models built around broad scope and scale, the nano GCC model centers on compact, product-centric teams and AI-enabled workflows with a land-and-expand approach2

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. The offering spans AI-native engineering, autonomous IT operations, advanced data and analytics, and intelligent business operations with responsible AI governance built in2

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. HCLTech leads the design and implementation of the operating model, while AWS provides access to services including Amazon Bedrock, Kiro and AWS Transform1

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. This structure lets companies start with specific use cases and expand operations as requirements change1

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Shifting from Cost Strategy to AI Capability Engine

Kiran Cherukuri, Executive Vice President and Global GCC Practice Leader at HCLTech, emphasized that the rationale for setting up GCCs is evolving rapidly1

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. "What began as a cost and talent strategy is becoming the primary engine for enterprise AI capability building. The question for most organizations is no longer whether to build AI-native operations, but how to do it without the drag of legacy setup models," Cherukuri said2

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. This shift reflects broader industry movement as companies explore ways to move AI projects into production, with forward-deployed engineers emerging as critical GCC roles for integrating AI systems into existing operations1

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Helping Enterprises Scale AI Beyond Pilots

Prabhakar Appana, Senior Vice President and Global Head of the AWS Ecosystem Business Unit at HCLTech, noted the model addresses a key enterprise challenge1

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. "By combining HCLTech's GCC expertise and AI capabilities with the scalability, security and agentic AI services of AWS, the nano GCC offering gives enterprises a faster, lower-risk path to building AI-native operations," Appana said2

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. Amit Anshu, Head of GSI and IT Business at AWS India and South Asia, added that AWS provides the cloud infrastructure, agentic AI services and DevOps capabilities powering the offering to help organizations move from pilot to production and scale as business demands evolve2

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. HCLTech did not disclose pricing, expected investment, customer deployments or revenue targets for the offering1

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