The Divide Between AI Experimentation and Enterprise Transformation

The report, Building the AI-Native Enterprise, introduces an index to benchmark how firms translate AI spending into actual business value. While 54% of respondents cite faster decision-making and 51% report cost reductions, the data reveals a disconnect in long-term strategy. Only 36% of organizations currently measure AI success through revenue growth, indicating that many businesses are prioritizing operational efficiency over structural transformation.

Bret Greenstein, Chief AI Officer at West Monroe, argues that the most successful firms are those moving beyond basic tool deployment. By redesigning work to leverage AI's inherent speed and data access, these companies create a compressed cycle of improvement. This shift often involves abandoning traditional hierarchies in favor of cross-functional, AI-enabled teams, a strategy currently adopted by 42% of the surveyed organizations. As regulatory complexity and infrastructure constraints mount, the gap between those simply experimenting with AI and those fully embedding it into their operating layer continues to widen.