- 90% of organizations have revamped their operating models to integrate AI, according to EXL's study.
- 76% of companies claim a competitive advantage in AI implementation.
- 60% of AI initiatives remain in pilot mode, with challenges in data accessibility and talent shortages.
NEW YORK, May 20, 2025 — New research from EXL (EXLS, Financial), a global data and AI services company, highlights the rapid integration of AI into enterprise workflows. A significant 90% of organizations have modified their operating models, with 39% undergoing a complete redesign to incorporate AI. Companies forecast that AI will be embedded in over 50% of their processes within the next year.
The study surveyed 290 C-suite executives across industries such as banking, finance, insurance, and healthcare. It reveals that 54% of respondents consider themselves "a little ahead" and 22% "far ahead" in AI implementation compared to competitors. These organizations are leveraging AI to attract new customers (50%), improve margins (47%), and reduce costs (47%).
However, the transition is not without its hurdles. About 60% of AI initiatives are still stuck in pilot stages. Challenges such as talent shortages (31%), data privacy concerns (30%), and budget constraints (30%) are prevalent. Additionally, 73% of organizations anticipate facing difficulties in enhancing their data capabilities, with only 30% reporting enterprise-wide data accessibility.
The report underscores the critical shift from merely exploring AI to tackling practical implementation issues, with talent shortages emerging as the biggest barrier. EXL's chief data and AI officer, Anand “Andy” Logani, stressed that the true potential of AI is unlocked when seamlessly integrated into workflows, fueled by ready data and skilled talent.
EXL, listed on NASDAQ as EXLS, continues to lead in providing innovative AI-driven solutions to transform businesses across various sectors. For further insights, access the full report titled '2025 EXL Enterprise AI Study: Bridging Strategy and Operations.'
