Home Media Coverage HCLTech launches AI-Powered Operations for mainframe environments. Nov. 02, 2026 at 1:35 pm HCLTech today announced the launch of its AI-Powered Operations offering, designed to help enterprises modernize and optimize their mission-critical mainframe environments through AI-enabled automation, observability and operational intelligence. The offering brings together specialized mainframe skill agents and conversational AI assistants to support system administration, observability, optimization and workflows, under human oversight. These capabilities help improve efficiency, accelerate issue resolution and enable more proactive, insight-driven operations. HCLTech's dedicated Mainframe Center of Excellence underpins the offering with deep domain expertise, industry best practices and continued innovation. "Enterprises running mission-critical workloads on mainframes are under increasing pressure to modernize operations and drive greater efficiency, without compromising reliability or control. Our AI-Powered Operations offering directly addresses this business need, combining HCLTech's deep mainframe expertise with AI-driven capabilities to help clients simplify operations, reduce risk and unlock greater value from their mainframe investments as they advance their broader transformation agendas," said Rampal Singh, Senior Vice President and Global Business Head of Hybrid Cloud at HCLTech. "AI is fundamentally changing how enterprises manage and extract value from their most strategic technology platforms. Through our dedicated Mainframe Center of Excellence and AI innovation capabilities, we are embedding intelligent agents and operational intelligence directly into mainframe environments, enabling organizations to shift from reactive management to proactive, insight-driven operations, while preserving the security, resilience and governance these platforms demand," said Raghu Kidambi, Corporate Vice President and Head of AI Ecosystems at HCLTech.

HCLTech launches nano GCC model with AWS to build AI operations. The offering targets enterprises with existing GCCs and mid-market companies seeking to establish AI-focused teams in India, with an initial rollout across Asia Pacific. Published 2026-10-29T10:43:08.570+05:30Updated 2026-10-29T10:43:08.570+05:30 Key takeaways. * HCLTech has introduced a nano Global Capability Centre model on AWS to assist enterprises in establishing AI-focused operations. * The offering targets existing GCCs and mid-market companies, enabling them to develop AI capabilities with smaller, product-centric teams. * It allows companies to begin with specific AI use cases, gradually expanding their operations as needed. * HCLTech will design and implement the operating model, while AWS provides essential cloud services and support. * The initial rollout of this model will occur across the Asia Pacific region. HCLTech has launched a nano Global Capability Centre (GCC) offering built on Amazon Web Services (AWS), targeting enterprises looking to establish AI-focused operations through smaller, product-centric teams. The offering is part of HCLTech's GCC 360 suite and combines its GCC advisory capabilities with AI platforms, including AI Force. AWS will provide cloud infrastructure, agentic AI services and joint go-to-market support. The model targets two groups: enterprises with existing GCCs looking to introduce AI capabilities alongside conventional operations, and mid-market companies seeking to establish an India presence without setting up a large centre. HCLTech said the model lets companies start with specific use cases, establish AI-native operating models, and expand operations progressively. Existing GCCs can use a hub-and-spoke model anchored at HCLTech's Lucknow campus. The offering centres on compact, product-centric teams and AI-enabled workflows. It covers AI-native engineering, autonomous IT operations, advanced data and analytics, and intelligent business operations. HCLTech will lead the design and implementation of the operating model, while AWS will provide access to services including Amazon Bedrock, Kiro and AWS Transform. Kiran Cherukuri, Executive Vice President and Global GCC Practice Leader at HCLTech, said the rationale for setting up GCCs was changing. "What began as a cost and talent strategy is becoming the primary engine for enterprise AI capability building," Cherukuri said. HCLTech said it would initially roll out the offering across Asia Pacific (APAC). The company's India-based delivery organisation will deliver it, with support from its Centre of Excellence in Lucknow. Prabhakar Appana, Senior Vice President and Global Head of the AWS Ecosystem Business Unit at HCLTech, said the model would allow enterprises to start with focused use cases and expand as their requirements change. The launch comes as companies explore ways to move AI projects into production. Forward-deployed engineers are emerging as a critical GCC role as enterprises look to integrate AI systems into existing operations. HCLTech did not disclose the offering's pricing, expected investment, customer deployments or revenue targets.

HCLTech launches AI-focused "nano" Global Capability Centers on AWS to help firms move beyond pilots. The IT services firm has introduced a compact GCC model built with Amazon Web Services for Asia Pacific, targeting established centres and mid-market companies that want to scale AI without the heavy setup of traditional offshore operations. HCLTech has launched an AI-powered "nano" Global Capability Center (GCC) offering, built on Amazon Web Services (AWS), to help enterprises move from AI experimentation to tangible business results. The model is part of the company's GCC 360 solution suite and combines its GCC advisory capabilities with AI platforms such as AI Force. HCLTech has designed the offering for two types of enterprise. The first is established GCCs already operating in India, largely on conventional work, that need a non-disruptive way to drive AI-led transformation. They would use a hub-and-spoke model anchored from HCLTech's Lucknow campus. The second is mid-market companies with no presence in the country that are wary of entering a new geography and want a low-risk platform to speed up their AI journey. In both cases, organisations can begin with a targeted scope, set up AI-native operating models, shorten setup cycles, and scale in stages as value is demonstrated. How it differs from traditional GCCs Traditional GCCs are built around broad scope and scale. The nano model instead relies on compact, product-centric squads, AI-enabled workflows and a land-and-expand approach. It covers AI-native engineering, autonomous IT operations, advanced data and analytics, and intelligent business operations, with responsible AI governance built in. HCLTech leads the design and implementation of the operating model. AWS provides joint go-to-market support and access to agentic AI services, including Amazon Bedrock, Kiro and AWS Transform, to speed up delivery. The offering is part of HCLTech's wider global strategy, with Asia Pacific as the first phase of rollout. It will be delivered through the company's India-based delivery organisation and supported by its Center of Excellence in Lucknow, giving clients access to India's pool of technology and engineering talent. "The nano GCC model is at an inflection point. 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. The nano GCC is our answer to that urgency," said Kiran Cherukuri, Executive Vice President & Global GCC Practice Leader, HCLTech. "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. It enables organizations to start with focused use cases, demonstrate measurable value and scale confidently as their business needs evolve," said Prabhakar Appana, Senior Vice President and Global Head of the AWS Ecosystem Business Unit, HCLTech. "Enterprises across Asia Pacific want to build AI-native operations with speed and confidence. AWS provides cloud infrastructure, agentic AI services and DevOps capabilities that power HCLTech's nano GCC offering. This helps organizations move from pilot to production and scale as their business demands evolve," said Amit Anshu, Head of GSI and IT Business, AWS India and South Asia.