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Indian Enterprises Increasingly Adopting AI for Internal Workflows: EY
76 percent of surveyed leaders say AI will drive serious business impact Indian enterprises are now increasingly looking at generative artificial intelligence (AI) to drive business impact, says a new report. As per the report, nearly half of the surveyed enterprises now have more than one AI use case currently operational internally, while another quarter have said that their AI projects are in the pilot stage. The number highlights that, despite being late to adopt the technology, when compared to Silicon Valley, the country's businesses are now focused on its adoption and are transforming their operations to integrate AI. AI Adoption in India Reaching Scale EY India, along with CII, released the third edition of its AI report titled "The AIdea of India: Outlook 2026." The company surveyed 200 organisations across 20 industries, including government bodies, public sector undertakings (PSUs), startups, enterprises, as well as Indian arms of MNCs. The responses were gathered from CXOs and senior leaders. One key finding from the report is that 47 percent of Indian enterprises now have multiple AI use cases operational, while 23 percent said that their tools are currently in the pilot stage. Integrating AI technologies across internal operations is a transformative change, and historically, Indian companies have not preferred such organisational reforms. Despite that, the number suggests that businesses in the country see a significant value addition from AI. Highlighting similar sentiments, the report stated that 76 percent of surveyed business leaders believe that "GenAI will have a significant business impact," while 63 percent said they are ready to leverage the technology effectively. Coming to behavioural trends, Indian enterprises are said to prioritise speed of deployment over any other factor to decide whether to buy the technology or build it internally. The fast deployment factor is likely where companies like Google, Microsoft, and OpenAI come in, having recently made India-focused moves to entice enterprises towards their AI solutions. Among the high-impact divisions, where usage of AI is expected to increase, are operations, customer service, and marketing. Based on the survey, these departments have received 63, 54, and 33 percent nods, respectively. But when it comes to organisational spending, AI has not seen a drastic improvement despite leadership's conviction. As per the report, more than 95 percent of the surveyed organisations have allocated less than 20 percent of their IT budget for AI. With just four percent crossing the threshold, the optimism appears not to have translated into action. EY states this could be due to reasons such as justifying the expense in a traditional return on investment (ROI) format, which is not possible with a transformative technology such as AI. Another interesting finding from the report is the enterprise-startup synergy driven by AI. EY says nearly 60 percent of surveyed organisations are co-innovating with startups to drive their AI innovation. "Enterprises are moving away from in-house-only approaches to leverage the agility and experimentation that startups bring, making them essential for staying competitive in the GenAI race," the report added.
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Nearly half of Indian enterprises now running multiple GenAI use cases: EY-CII report - The Economic Times
Nearly half of Indian enterprises (47 per cent) now have multiple Generative AI (GenAI) use cases live while 23 per cent are in pilot stage, marking a decisive shift from pilots to performance, as per a latest EY-CII report. According to the report titled 'Is India ready for Agentic AI? The AIdea of India: Outlook 2026', Indian enterprises are demonstrating strong confidence by embedding AI into core business workflows to deliver measurable results. Notably, 76 per cent of business leaders, the jointly prepared report asserted, believe that GenAI will have a significant business impact, and 63 per cent feel ready to leverage it effectively. India's enterprise AI landscape, in a way, has reached an inflection point, it noted. Mahesh Makhija, Partner and Technology Consulting Leader, EY India, said, "Our survey shows that corporate India has moved beyond experimentation. Nearly half the enterprises already have multiple use cases in production." For enterprises, the focus must now move from building pilots to designing processes where humans and AI agents collaborate seamlessly," Makhija added. "Enterprises that prioritize data readiness, model assurance, and Responsible AI will shape the competitive advantage of the decade." That said, despite optimism, AI and ML investments remain modest in scale. More than 95 per cent of organizations allocate less than 20 per cent of their IT budgets to AI, the report noted. Only 4 per cent have crossed the 20 per cent threshold, highlighting that while belief is high, funding for scaled AI transformation is still conservative, it noted. Speed has become the new metric of competitive advantage in AI adoption. 91% of business leaders identified rapid deployment as the single biggest factor influencing their "buy versus build" decisions, the report noted. Over the next 12 months, organizations are expected to focus their GenAI investments on operations (63 per cent), customer service (54 per cent), and marketing (33 per cent), reflecting a clear shift from experimentation to embedding AI in core business functions. The report also noted that enterprises have reported a persistent shortage of skilled AI talent.
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A comprehensive EY-CII report reveals that nearly half of Indian enterprises now have multiple AI use cases operational, marking a significant shift from pilot programs to production deployment across core business functions.
Indian enterprises have crossed a significant threshold in artificial intelligence adoption, with nearly half now operating multiple AI use cases in production environments. According to the latest EY-CII report titled "Is India ready for Agentic AI? The AIdea of India: Outlook 2026," 47 percent of surveyed enterprises have moved beyond pilot programs to implement multiple generative AI solutions across their operations
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Source: Economic Times
The comprehensive study surveyed 200 organizations across 20 industries, including government bodies, public sector undertakings, startups, enterprises, and Indian arms of multinational corporations. The responses were gathered from CXOs and senior leaders, providing insights into the strategic direction of AI adoption in corporate India
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.Business leaders demonstrate remarkable confidence in AI's transformative potential, with 76 percent believing that generative AI will have significant business impact. Additionally, 63 percent of surveyed leaders expressed readiness to leverage AI technology effectively, indicating a mature understanding of its capabilities and applications
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Source: NDTV Gadgets 360
Mahesh Makhija, Partner and Technology Consulting Leader at EY India, emphasized this shift: "Our survey shows that corporate India has moved beyond experimentation. Nearly half the enterprises already have multiple use cases in production." He noted that enterprises must now focus on designing processes where humans and AI agents collaborate seamlessly
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.A striking finding reveals that speed has become the primary factor in AI adoption decisions. Ninety-one percent of business leaders identified rapid deployment as the single biggest factor influencing their "buy versus build" decisions, prioritizing quick implementation over customized solutions
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.This preference for speed likely benefits established technology providers like Google, Microsoft, and OpenAI, who have recently made India-focused moves to attract enterprise customers with ready-to-deploy AI solutions
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Despite strong leadership conviction, organizational spending on AI remains conservative. More than 95 percent of surveyed organizations allocate less than 20 percent of their IT budgets to AI initiatives, with only 4 percent crossing this threshold. This disparity between optimism and actual investment suggests challenges in justifying AI expenses using traditional return on investment metrics
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.Over the next 12 months, organizations plan to concentrate their generative AI investments in three key areas: operations (63 percent), customer service (54 percent), and marketing (33 percent). This distribution reflects a strategic shift from experimental applications to embedding AI in core business functions
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.The report also highlights growing enterprise-startup synergy, with nearly 60 percent of surveyed organizations co-innovating with startups to drive AI innovation. This collaboration allows enterprises to leverage startup agility and experimentation capabilities, making them essential partners in the generative AI race
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