India’s AI conversation has evolved rapidly. The question is no longer whether to adopt AI, but whether it is actually delivering value. Global Capability Centres have invested heavily, piloting and scaling AI across industries. Yet, many are discovering that enthusiasm does not automatically translate into impact. The new challenge is proving return on investment in an environment where nearly everyone is experimenting but few are measuring effectively.
Breakdown
Context:
A recent report by Zinnov and ProHance reveals that 92 percent of Global Capability Centres are already piloting or scaling AI projects. However, 72 percent of leaders admit they lack a structured ROI framework. While Accenture’s 69.7 billion dollars in revenue and its growing AI integration signal global momentum, the company’s Chief Executive Officer Julie Sweet offered a sobering truth that AI’s financial payoff is still lagging.
Angles:
For most Global Capability Centres, defining ROI is complex. Tangible benefits such as productivity gains or workforce optimisation often mix with intangible ones like improved employee experience or faster decision-making. Experts argue that the real return lies in embedding AI deep into business workflows rather than chasing surface-level automation. The biggest obstacles include data readiness, infrastructure scalability, and cultural resistance. Despite widespread access to AI tools, fewer than 40 percent of employees use them effectively due to missing playbooks and limited skills.
What’s Next:
Global Capability Centres are beginning to adopt multidimensional ROI models that move beyond cost savings. According to industry leaders, the real payoff now comes from faster go-to-market cycles, improved product quality, data-driven insights, and innovation-led growth. AI ROI will increasingly be measured through frameworks such as RIPE, which focuses on revenue generation, innovation, productivity, and efficiency, supported by human-in-the-loop validation to ensure measurable outcomes.
Why This Matters
The AI gold rush is entering its accountability phase. India’s Global Capability Centres, which power a large part of the world’s enterprise technology backbone, are under pressure to justify billion-dollar investments with tangible business impact. Those that can operationalise AI effectively across governance, data, and people systems will define the next era of enterprise competitiveness.
The Big Picture
AI maturity now requires more than pilots or proof of concepts. The next stage is about systems thinking that connects tools, teams, and data. India’s Global Capability Centres have the scale, talent, and cost advantages to lead this evolution, but without robust ROI frameworks, even the most ambitious deployments risk becoming sunk costs. The global narrative will soon shift from who adopted AI first to who used it best.
The Crunch
The winners will not be the companies that spend the most on AI, but those that can measure what truly matters. Global Capability Centres that transform AI from a technology expense into a business engine by linking automation to outcomes will unlock competitive advantages that extend far beyond cost savings.