Indian businesses are rapidly accelerating artificial intelligence adoption and reporting measurable returns, yet only 4 per cent of organisations feel their enterprise data is fully ready to support AI at scale, according to a report released on Tuesday, 4 August by Dun & Bradstreet. The findings point to a widening gap between early AI experimentation and the data infrastructure needed to deliver consistent, enterprise-wide returns.

AI Adoption at a Glance

The Dun & Bradstreet survey found that 100 per cent of surveyed Indian organisations have AI projects currently underway — a signal that AI has moved from a strategic option to a baseline business activity. Adoption maturity, however, varies sharply: 44 per cent of firms remain in the planning or piloting stage, while 30 per cent are actively scaling AI into production environments.

A smaller but notable cohort is pushing further: 19 per cent have operationalised AI across multiple core business processes, and 7 per cent are already deploying agentic AI workflows — systems capable of autonomous decision-making and task execution with minimal human intervention.

Returns Are Real, But Uneven

73 per cent of surveyed organisations reported some level of measurable return on their AI investments. Of these, 50 per cent reported ROI concentrated in specific pockets of the business, while 23 per cent reported broad or strong ROI across multiple projects. The distinction matters: pocket-level returns are easier to achieve and harder to scale, and the data suggests most Indian firms are still in that first category.

Julian Prower, Executive Vice President, Global Business Operations & Transformation and Managing Director & CEO, India & Taiwan, Dun & Bradstreet, said: 'Indian businesses are moving quickly from AI experimentation to enterprise adoption, with growing evidence of business value and return on investment.'

The Data Readiness Gap

Despite the investment momentum, enterprise data quality remains the critical bottleneck. Only 4 per cent of organisations described their data as fully ready to support AI at scale. 58 per cent called their data partially ready, and 30 per cent described it as mostly ready. The report characterises this as a structural gap — one that separates firms capable of early AI wins from those capable of repeatable, scalable ROI.

The report noted: 'Enterprise AI is entering a new phase of maturity, as organisations are increasingly seeing value from AI but still face a harder challenge in scaling those returns consistently across the enterprise.'

Investment Intent Remains Strong

Forward-looking sentiment is unambiguously positive. 69 per cent of organisations plan to increase AI investments, with 56 per cent expecting a moderate rise in spending and 13 per cent anticipating a significant increase. A further 31 per cent expect spending to hold at current levels. Notably, no respondent in the survey anticipated a reduction in AI spending — a rare consensus in a field where ROI debates are ongoing.

What Comes Next

For Indian enterprises, the next competitive frontier is not AI adoption — that battle is largely settled — but data infrastructure. Firms that close the data readiness gap first will be positioned to convert isolated AI wins into enterprise-wide performance gains. Industry observers expect data governance, data quality platforms, and AI-ready cloud architectures to see accelerated investment as organisations confront this constraint head-on.