When Texas Instruments and Citibank established their GCCs in 1980, the mandate was simple: IT support, operational efficiency and cost arbitrage. Four decades later, GCCs own functions, products, global leadership and increasingly, enterprise AI. With 72% of CEOs now leading AI decisions, the advantage is clear: building AI into the GCC from day one is far more effective than retrofitting it later. The future belongs to GCCs designed to be AI-native—not those adapting legacy models to AI.
India is uniquely positioned for this shift, with 260,000+ AI/ML professionals and 1,200+ AI-enabled GCCs, creating one of the world's most mature ecosystems for building AI capability at enterprise scale. The question for GCC leaders is no longer whether to adopt AI, but whether to retrofit the past or redesign the future. This eBook explores what it takes to build an AI-native GCC, including:
~ The rationale for why every GCC that is now setup must be AI-native,
~ The anatomy of an AI-native GCC, from architecture and operating models to human + AI workflows,
~ Talent strategy that's designed for an organization that leverages a team of AI Agents and humans, and
~ A 90-day implementation blueprint—with one clear objective: moving beyond scaling headcount and efficiency to building a capability that scales intelligence, innovation and enterprise value.
Download the eBook to dive deeper.
In our relentless pursuit of greatness, we're dedicated to developing individuals, building elite teams, and cultivating an uncommon culture of unity and care. As providers of digital talent solutions, we aim to positively impact businesses and communities globally. We'd be honored to be your trusted and uncommon partner on this journey.
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