NEW YORK, May 20, 2025 (GLOBE NEWSWIRE) -- Organizations are changing the ways they work, sometimes radically, to embed AI throughout their workflows and to scale and maximize ROI, according to new research by EXL [NASDAQ: EXLS], a global data and AI company. A 90% majority of organizations have significantly changed their operating model to accommodate AI, with 39% having completely redesigned how they work. Over the next year, companies expect over half of their processes will include AI.

The second annual EXL Enterprise AI Study: Driving Execution at Scale is based on a survey of 290 C-suite and other senior decision makers across the banking and finance, insurance, retail, utilities, and healthcare payer industries. Its findings shine a spotlight on the massive growth of enterprise GenAI implementations to date but also warn of data quality issues, talent shortages, and other roadblocks that could curtail some of the early progress companies have made as they move deeper into company-wide enterprise AI initiatives.

The following are some of the report’s key findings:

  • Confident AI Leaders Emerge: Respondents in this year’s survey are feeling confident in how they’re faring on AI adoption. More than half (54%) believe they are “a little ahead” of their competitors in AI implementation and 22% believe they are “far ahead.” Leaders in the field have been able to create a new operating model by embedding AI into their business workflows. These organizations are capitalizing on AI and are able to effectively manage and make available the data AI needs to excel at scale.
  • New Customers, Improved Margins Among Top AI Priorities: Half (50%) of business leaders say that improving ways to target and attract new customers are their top priority for AI technology. Executives also say they hope AI can help them improve margins and profitability (47%) and reduce operating costs (47%).
  • Some AI Integrations Stuck in Neutral: While many organizations have quickly adopted GenAI, companies reported AI initiatives across roughly 60% of their enterprise remain stuck in pilot mode. What’s more, some executives fear the speed of these adoptions may soon be interrupted due to talent, user adoption, and data quality obstacles, with 73% of organizations of the belief that improving their data capabilities will present a moderate or significant challenge. Just 30% of respondents said their company’s data is accessible on an enterprise-wide basis.
  • Talent Tops Cost as Biggest Barrier to AI Adoption: The biggest single barrier to AI adoption is shortage of talent or skills for AI use (31%), followed by concerns about data privacy and security (30%) and cost or budget constraints (30%).

“The true power of AI can only truly be unlocked when it is seamlessly embedded into workflows—fueled by data that is AI ready, enabled by the right technology and infrastructure and powered by skilled talent,” said Anand “Andy” Logani, chief data and AI officer at EXL. “When executed effectively, it delivers meaningful business value without disruption.”

The full report, 2025 EXL Enterprise AI Study: Bridging Strategy and Operations, can be accessed here .

About EXL

EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and capital markets, retail, communications and media, and energy and infrastructure, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have approximately 60,000 employees spanning six continents. For more information, visit www.exlservice.com.

Cautionary Statement Regarding Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the United States Private Securities Litigation Reform Act of 1995. You should not place undue reliance on those statements because they are subject to numerous uncertainties and factors relating to EXL's operations and business environment, all of which are difficult to predict and many of which are beyond EXL’s control. Forward-looking statements include information concerning EXL’s possible or assumed future results of operations, including descriptions of its business strategy. These statements may include words such as “may,” “will,” “should,” “believe,” “expect,” “anticipate,” “intend,” “plan,” “estimate” or similar expressions. These statements are based on assumptions that we have made in light of management's experience in the industry as well as its perceptions of historical trends, current conditions, expected future developments and other factors it believes are appropriate under the circumstances. You should understand that these statements are not guarantees of performance or results. They involve known and unknown risks, uncertainties and assumptions. Although EXL believes that these forward-looking statements are based on reasonable assumptions, you should be aware that many factors could affect EXL’s actual financial results or results of operations and could cause actual results to differ materially from those in the forward-looking statements. These factors, which include our ability to maintain and grow client demand, our ability to hire and retain sufficiently trained employees, and our ability to accurately estimate and/or manage costs, rising interest rates, rising inflation and recessionary economic trends, are discussed in more detail in EXL’s filings with the Securities and Exchange Commission, including EXL’s Annual Report on Form 10-K. You should keep in mind that any forward-looking statement made herein, or elsewhere, speaks only as of the date on which it is made. New risks and uncertainties come up from time to time, and it is impossible to predict these events or how they may affect EXL. EXL has no obligation to update any forward-looking statements after the date hereof, except as required by federal securities laws.

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