Genpact’s Post

The Era of Relentless Reinvention AI is reshaping industries with unprecedented speed, and Genpact’s presence across global forums signals a decisive shift from exploration to execution. Transformation is now about building intelligent systems that scale outcomes, not pilots that gather dust. The leaders who embrace agentic intelligence and ecosystem collaboration will define the competitive frontier. The future is not waiting. It rewards those bold enough to build it while others are still debating it.

Incredible momentum across industries! Love how this post captures the shift from AI pilots to scalable transformation. Especially resonating: the focus on value creation through GCCs and cross-sector collaboration. Kudos to the teams driving this forward!

Genpact Leading the race 👏

🚀 $110B AI-First GCC Market: Are Strategic Partnerships India's New Competitive Advantage? 🤔 In an AI-first uncertain and volatile world, strategic partnerships become vital for building responsible, scalable, and secure agentic ecosystems. 💡There is a need to reimagine domain-rich GCCs, AI-first GCC-as-a-Service providers and agentic AI startups as symbiotic co-creators of AI-native innovation and unified ecosystem orchestrators. Because collective intelligence is the new competitive advantage, and unity in diversity is the real strength. ♟Envisioning three kinds of strategic partnerships: 1️⃣ AI-First GCC-as-a-Service Partnerships — global enterprises, tech services firms, and AI startups co-creating AI-first, innovation-led GCCs. 2️⃣ Domain-Native AI Partnerships — fusing agentic AI abilities with deep sector intelligence to build contextual, high-impact solutions, and proprietary IP. 3️⃣ Market Expansion Partnerships — forming strategic networks across agentic AI and domain-native ecosystems to unlock new markets for AI startups, GCCs, and tech service players — embedding them deeper into global value chains.

♟India's GCC story: The real shift is from "cost-center" mindset to "AI-native breakthrough innovation" culture. 🚀 Big picture of India's GCC evolution in three phases & what's next 👇 1️⃣ GCC 1.0 (2010 - 2022) 🎯 Purpose: Cost-efficient global delivery. ⚙ Value Driver: Process optimization. 💰 Outcome: Labour-driven cost savings. 👉 In the "efficiency era", operational excellence & cost arbitrage defined GCC competitiveness. 2️⃣ GCC 2.0 (2023 - 2025) 🎯 Purpose: Digital transformation & AI adoption. ⚙ Value Driver: Productivity & speed. 💰 Outcome: AI-assisted, efficient global operations. 👉 In the "digital era", cloud, & AI-led automation of software development life cycle (SDLC) redefined speed & scale. 3️⃣ GCC 3.0 (2026 - 2030) 🎯 Purpose: AI-native co-creation & R&D-led shared innovation. ⚙ Value Driver: Ecosystem partnerships & global innovation networks. 💰 Outcome: AI-first, market-agile, breakthrough innovation — strategic value creation. 👉 In the "innovation era", agentifying the entire enterprise — embedding agentic AI's autonomous decision-making, & self-learning workflows into global value chains & ecosystem orchestration for AI-native product / platform innovation will be the new competitive advantage.

Incredible to see Genpact leading the conversation on AI across such diverse global platforms! From transforming supply chains to scaling AI in insurance and enabling intelligent operations, these insights truly showcase how innovation is shaping the future. Excited to see what’s next!

♟Turning AI-first GCC dashboard into global CEO's decision-making system.👇 🎯 AI-first GCC Model = Bill Outcomes, Not Hours — Because the cost arbitrage, and scale no more define the competitiveness of global capability centers (GCCs) — strategic value creation through continuous reinvention, responsible AI-first ecosystem orchestration, and driving AI-native product / platform innovation breakthroughs is what really matters in the new world of AI autonomy, agentified enterprises, and the hybrid human-AI teams. ♟How can an AI-first GCC dashboard evolve into the primary strategic–decision making system for the CEO of a global enterprise — not just a reporting tool for India's GCC operations? ✅ GCC dashboards should start measuring strategic, AI-first business outcomes ▪︎ AI-native innovation velocity ▪︎ Human–AI synergy (decision + execution quality) ▪︎ % AI autonomy & self-learning workflows across global value chains ▪︎ AI-first ecosystem orchestration maturity ▪︎Self-correcting AI agents vs intelligent agents that need human intervention ❌ GCC dashboards should stop projecting legacy cost-center inputs/outputs as success indicators ▪︎ Headcount ▪︎ Billable hours ▪︎ Agile sprints completed ▪︎ Customer tickets closed