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Organizations race to embed AI into enterprise workflows, EXL study finds

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A new study by EXL reveals widespread AI adoption across enterprises, with 90% of organizations significantly modifying their operating models to incorporate AI. The research, surveying 290 C-suite executives across various industries, shows that 54% of companies believe they're "a little ahead" and 22% "far ahead" of competitors in AI implementation. Companies expect AI to be integrated into over half of their processes within the next year. Key priorities include targeting new customers (50%), improving margins (47%), and reducing costs (47%). However, challenges persist as 60% of AI initiatives remain in pilot mode, and organizations face obstacles including talent shortages (31%), data privacy concerns (30%), and budget constraints (30%). Notably, 73% of companies anticipate challenges in improving their data capabilities, with only 30% reporting enterprise-wide data accessibility.
Un nuovo studio di EXL evidenzia una diffusione capillare dell'adozione dell'IA nelle imprese, con il 90% delle organizzazioni che modifica significativamente i propri modelli operativi per integrare l'IA. La ricerca, che ha coinvolto 290 dirigenti di alto livello di diversi settori, mostra che il 54% delle aziende si considera "un po' avanti" e il 22% "molto avanti" rispetto ai concorrenti nell'implementazione dell'IA. Le aziende prevedono di integrare l'IA in oltre la metà dei loro processi entro il prossimo anno. Le priorità principali includono l'acquisizione di nuovi clienti (50%), il miglioramento dei margini (47%) e la riduzione dei costi (47%). Tuttavia, permangono delle sfide, poiché il 60% delle iniziative di IA è ancora in fase pilota e le organizzazioni devono affrontare ostacoli quali la carenza di talenti (31%), le preoccupazioni sulla privacy dei dati (30%) e i vincoli di budget (30%). In particolare, il 73% delle aziende prevede difficoltà nel migliorare le proprie capacità di gestione dei dati, con solo il 30% che dichiara un accesso ai dati a livello aziendale.
Un nuevo estudio de EXL revela una adopción generalizada de la IA en las empresas, con un 90% de las organizaciones que modifican significativamente sus modelos operativos para incorporar IA. La investigación, que encuestó a 290 ejecutivos de alto nivel de diversas industrias, muestra que el 54% de las empresas se considera "un poco adelantada" y el 22% "muy adelantada" en la implementación de IA respecto a sus competidores. Las compañías esperan integrar IA en más de la mitad de sus procesos durante el próximo año. Las prioridades clave incluyen captar nuevos clientes (50%), mejorar los márgenes (47%) y reducir costos (47%). Sin embargo, persisten desafíos, ya que el 60% de las iniciativas de IA siguen en fase piloto y las organizaciones enfrentan obstáculos como la escasez de talento (31%), preocupaciones sobre la privacidad de datos (30%) y limitaciones presupuestarias (30%). Destaca que el 73% de las empresas anticipa dificultades para mejorar sus capacidades de datos, con solo un 30% que reporta accesibilidad a datos a nivel empresarial.
EXL의 새로운 연구에 따르면 기업 전반에 걸쳐 AI 도입이 광범위하게 이루어지고 있으며, 90%의 조직이 AI를 통합하기 위해 운영 모델을 크게 수정하고 있다고 합니다. 다양한 산업 분야의 290명의 최고경영진을 대상으로 한 조사 결과, 54%의 기업이 경쟁사 대비 AI 도입에서 "약간 앞서 있다"고, 22%는 "훨씬 앞서 있다"고 생각하는 것으로 나타났습니다. 기업들은 향후 1년 내에 AI를 절반 이상의 프로세스에 통합할 것으로 기대하고 있습니다. 주요 우선순위는 신규 고객 확보(50%), 마진 개선(47%), 비용 절감(47%)입니다. 하지만 60%의 AI 프로젝트가 아직 파일럿 단계에 머물러 있으며, 인재 부족(31%), 데이터 프라이버시 문제(30%), 예산 제약(30%) 등 여러 장애물이 존재합니다. 특히 73%의 기업이 데이터 역량 향상에 어려움을 예상
Une nouvelle étude de EXL révèle une adoption généralisée de l'IA dans les entreprises, avec 90 % des organisations modifiant significativement leurs modèles opérationnels pour intégrer l'IA. L'enquête, menée auprès de 290 cadres dirigeants de divers secteurs, montre que 54 % des entreprises se considèrent "un peu en avance" et 22 % "très en avance" par rapport à leurs concurrents dans la mise en œuvre de l'IA. Les entreprises prévoient d'intégrer l'IA dans plus de la moitié de leurs processus au cours de l'année à venir. Les priorités clés incluent la conquête de nouveaux clients (50 %), l'amélioration des marges (47 %) et la réduction des coûts (47 %). Cependant, des défis subsistent puisque 60 % des initiatives d'IA sont encore au stade pilote et les organisations rencontrent des obstacles tels que la pénurie de talents (31 %), les préoccupations liées à la confidentialité des données (30 %) et les contraintes budgétaires (30 %). Notamment, 73 % des entreprises anticipent des difficultés à améliorer leurs capacités en matière de données, avec seulement 30 % rapportant un accès aux données à l'échelle de l'entreprise.
Eine neue Studie von EXL zeigt eine weitverbreitete Einführung von KI in Unternehmen, wobei 90 % der Organisationen ihre Betriebsmodelle erheblich anpassen, um KI zu integrieren. Die Untersuchung, bei der 290 Führungskräfte aus verschiedenen Branchen befragt wurden, zeigt, dass 54 % der Unternehmen sich als "etwas voraus" und 22 % als "weit voraus" im Vergleich zu Wettbewerbern bei der KI-Implementierung sehen. Unternehmen erwarten, KI innerhalb des nächsten Jahres in mehr als der Hälfte ihrer Prozesse zu integrieren. Wichtige Prioritäten sind die Gewinnung neuer Kunden (50 %), die Verbesserung der Margen (47 %) und die Kostensenkung (47 %). Dennoch bestehen Herausforderungen, da 60 % der KI-Initiativen noch in der Pilotphase sind und Organisationen mit Hindernissen wie Fachkräftemangel (31 %), Datenschutzbedenken (30 %) und Budgetbeschränkungen (30 %) konfrontiert sind. Bemerkenswert ist, dass 73 % der Unternehmen Herausforderungen bei der Verbesserung ihrer Datenkompetenzen erwarten, während nur 30 % von unternehmensweiter Datenzugänglichkeit berichten.
Positive
  • 90% of organizations have significantly changed their operating model to accommodate AI
  • 76% of companies believe they have a competitive edge in AI implementation
  • Companies expect AI integration in over 50% of their processes within next year
  • Half of businesses prioritize AI for new customer acquisition
Negative
  • 60% of AI initiatives remain stuck in pilot mode
  • 73% of organizations face significant challenges with data capabilities
  • Only 30% of companies have enterprise-wide data accessibility
  • Talent shortage is the biggest barrier to AI adoption (31%)

Insights

EXL's AI research reveals companies aggressively embedding AI into workflows despite data quality and talent barriers.

EXL's latest research offers valuable insights into the state of enterprise AI adoption across industries. The findings reveal an aggressive push toward AI integration, with 90% of organizations significantly altering their operating models and 39% completely redesigning workflows to accommodate AI technology. This widespread commitment to AI transformation suggests we're witnessing a fundamental shift in how businesses operate rather than incremental change.

What's particularly noteworthy is the confidence gap forming in the market. While three-quarters of respondents believe they have an advantage over competitors, the data simultaneously reveals concerning implementation challenges. With 60% of enterprise AI initiatives still stuck in pilot mode, there's a disconnect between perception and execution that will likely create market winners and losers.

The report highlights a critical evolution in AI adoption barriers. Unlike earlier stages where cost concerns dominated, talent shortages (31%) now represent the primary obstacle, followed closely by data privacy (30%) and budget constraints (30%). This shift signals the market's maturation from theoretical interest to practical implementation challenges.

The data fragmentation issue is particularly troubling, with only 30% of respondents reporting enterprise-wide data accessibility. This siloed data architecture will significantly limit AI effectiveness regardless of investment levels. Organizations that solve this fundamental data integration challenge will likely outperform peers regardless of their AI technology selection.

Three-quarters of companies believe they have an edge on their competition, but many worry siloed data and talent shortages could impede their AI progress

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.

Contacts
Media
Keith Little
+1 703-598-0980
media.relations@exlservice.com

Investor Relations
John Kristoff
+1 212 209 4613
IR@exlservice.com

PDF available: http://ml.globenewswire.com/Resource/Download/4e977a3b-6c39-4444-a5ef-b4859e3e2a1e


FAQ

What percentage of companies have changed their operating model for AI according to EXL's study?

According to EXL's study, 90% of organizations have significantly changed their operating model to accommodate AI, with 39% completely redesigning their work processes.

What are the main barriers to AI adoption identified in the EXL 2025 Enterprise AI Study?

The main barriers are talent/skills shortage (31%), data privacy and security concerns (30%), and cost/budget constraints (30%).

What percentage of EXLS study respondents believe they are ahead in AI implementation?

76% of respondents believe they are ahead, with 54% saying they are 'a little ahead' and 22% believing they are 'far ahead' of their competitors.

What are the top priorities for AI implementation according to the EXL study?

The top priorities are improving ways to target and attract new customers (50%), improving margins and profitability (47%), and reducing operating costs (47%).

How many organizations face challenges with data capabilities according to the EXL study?

73% of organizations believe that improving their data capabilities will present a moderate or significant challenge, with only 30% having enterprise-wide data accessibility.
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