Enterprise-wide AI transformation requires the development of six foundational capabilities rather than a focus on a single technology initiative [4].
This shift in strategy is critical because companies focusing on isolated AI projects have historically seen minimal returns. To achieve substantial and repeatable value, leaders must move beyond fragmented implementations toward a holistic organizational framework.
Data from the Boston Consulting Group highlights the difficulty of this transition. In a survey of more than 1,000 C-suite executives [1], the firm said that only four percent of companies generated substantial AI value in 2024 [2]. A follow-up analysis conducted a year later in 2025 showed that this figure had only risen to five percent [3].
These numbers indicate that the pace of real-world AI adoption is slower than the hype surrounding the technology. The stagnation suggests that simply deploying AI tools is insufficient for business transformation, a gap that requires a structured approach to close.
Experts said six specific foundations are necessary for success [4]. These foundations allow enterprises to scale AI across different departments and functions. By integrating these capabilities, companies can avoid the trap of modest gains associated with single-use AI tools.
Global enterprises are now being encouraged to treat AI as a systemic change rather than a software upgrade. This involves restructuring how data is handled and how employees interact with automated systems. The goal is to move from experimental pilots to an integrated operating model that delivers measurable financial and operational results.
“Enterprise-wide AI transformation requires the development of six foundational capabilities.”
The marginal increase in companies seeing substantial AI value between 2024 and 2025 suggests a 'plateau of productivity' for early adopters. This indicates that the primary barrier to AI ROI is not the technology itself, but the lack of organizational infrastructure. For the C-suite, the focus is shifting from procurement of AI tools to the architectural overhaul of the business.
