Press Release

Failure to Scale Artificial Intelligence Could Put 80% of Indian Organizations Out of Business, Accenture Study Shows


Companies that shift from AI experimentation to execution achieve lasting ROI and competitive agility

Nearly eighty percent of C-level executives in India believe if they don’t move beyond experimentation to aggressively deploy artificial intelligence (AI) across their organizations they risk going out of business by 2025, according to a newly released study from Accenture (NYSE: ACN).

The research, titled “AI: Built to Scale” and produced by Accenture Strategy and Accenture Applied Intelligence, found that while 79 percent of C-level executives in India believe they won’t achieve their business strategy without scaling AI, only a few have made the shift from mere experimentation to creating an organization powered by robust AI capabilities. As a result, this small group of top performers is achieving nearly three times the return from AI investments as their lower-performing counterparts.

“Over the years, the use of AI has permeated various functions demonstrating its true transformative potential. Most companies now also recognize that they need to scale AI for growth and relevance, yet they are unable to do so. Those who push through the barriers to embed AI more deeply in their organization, are seeing a return on their AI investment of 70 percent or more,” said Anindya Basu, geographic unit and country senior managing director, Accenture in India. “Indian businesses need to step on the pedal and learn from the leaders. They need to make strategic investments to scale AI as that’s the only way to realize its true business value.”

The report reveals that the secret to success for top performers centers around three key elements: a strong data foundation; multiple dedicated AI teams; and a C-suite-led commitment to strategic, organization-wide AI deployment. These companies demonstrate their deep commitment by scaling AI at a much higher rate — conducting nearly twice as many pilots than other companies. However, this commitment to AI does not necessarily translate to higher spend, with top performers reporting lower investment levels on their AI implementations — pilots and full-scale deployments — than lower performers.

According to the report, nearly all global respondents (95 percent) agree on the importance of data as the foundation to scaling AI, but the top performers are more intentional and focused on ensuring that the right, relevant data assets are in place to underpin their AI efforts. They are more adept at structuring and managing data, with 61 percent wielding a large, accurate data set and more than two-thirds (67 percent) effectively integrating both internal and external data sets.

“A key barrier to the successful scaling of AI is the lack of the right people strategy. Companies need to ensure their employees understand both what AI is and how it applies to their day-to-day role. While the top leadership team can serve as the champions responsible for scaling AI initiatives, embedding teams with AI across the entire organization is not only a powerful signal about the strategic intent of the effort, but will also enable faster culture and behavioural changes,” said Saurabh Kumar Sahu, managing director and lead for Applied Intelligence, Accenture in India.

This strategic approach is further bolstered by another key characteristic of top performers — assembling the right talent to drive results. Instead of relying on a single AI champion, 92 percent have strategically embedded multi-disciplinary teams throughout their organizations. This cross-functional approach also helps ensure diversity of thinking which, in addition to having tangible benefits for considerations like Responsible AI, can also maximize the value an organization sees from their AI deployments.

To find out more about the report, visit

About the research

As part of the research, Accenture surveyed 1,500 C-Suite executives from companies with a minimum revenue of US$1 billion in 12 countries including India around the world across 16 industries, with the aim to uncover the success factors for scaling AI. The survey covered 126 C-Suite executives in India and was conducted in July and August 2019.

About Accenture
Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 505,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at

Accenture Strategy combines deep industry expertise, advanced analytics capabilities and human-led design methodologies that enable clients to act with speed and confidence. By identifying clear, actionable paths to accelerate competitive agility, Accenture Strategy helps leaders in the C-suite envision and execute strategies that drive growth in the face of digital transformation. For more information, follow @AccentureStrat or visit

Applied Intelligence is Accenture’s approach to scaling AI for our clients. We embed AI-powered data, analytics and automation capabilities into business workflows to accelerate time to value. Our expertise in defining end-to-end strategy, combined with deep data infrastructure capabilities, cognitive services and industrialized accelerators help smooth clients’ path to AI adoption, extending human capabilities and supporting clients in scaling AI responsibly. Recognized as a leader by industry analysts, we collaborate with a powerful global alliance, innovation and delivery network to help clients deploy and scale AI within any market and industry. Follow @AccentureAI and visit


Disclaimer: The story is in the form of a Press Release and has not been edited or reviewed for language or content. The content is published in the form that it was received by the editors after removing certain personal information such as contact numbers and emails. is not responsible for the veracity of this content

Leave a Response