EXLS ExlService Holdings Inc.

EXL unveils new agentic AI solutions to accelerate enterprise transformation across the full AI value chain

EXL unveils new agentic AI solutions to accelerate enterprise transformation across the full AI value chain

Expanded portfolio integrates agent development, governance, decision intelligence and domain workflows to help enterprises scale AI responsibly and deliver measurable business outcomes

NEW YORK, March 11, 2026 (GLOBE NEWSWIRE) --  [NASDAQ: EXLS], a global data and AI company, today launched a series of new agentic AI solutions, expanding its portfolio to help enterprises move from AI experimentation to large-scale, measurable impact. This initiative includes:

  • Enhancements to our platform with new models and autonomous agent building capabilities;
  • , our new AI-powered decision intelligence solution that accelerates development of analytical models by 30–50%;
  • Domain-specific workflow solutions that embed AI directly into business processes, including EXL ClaimsAssist.ai for insurance claims management;
  • Enhancements to , the foundation for enabling AI-ready data, now include language-agnostic support capabilities, expanded platform compatibility and more than 80 modular agents to broaden use case coverage across the enterprise.

“With a strong focus on trust, value, speed and accuracy, our agentic AI capabilities enable enterprises to design, build and scale AI with confidence,” said Rohit Kapoor, EXL’s chairman and chief executive officer. “Backed by more than 250 pre-built agents and accelerators and 10 new U.S. patents, we address the full AI value chain, from data and governance to decision intelligence and real-time execution. Our focus remains in making AI real for enterprises by delivering practical, scalable solutions that drive sustained business value.”

EXL introduced these new capabilities across its agentic AI portfolio to address the persistent challenges enterprises face when operationalizing AI at scale. While investments in data platforms, analytics and AI continue to grow, many organizations struggle with siloed data environments, manual and talent-intensive model development, a lack of enterprise-grade governance, escalating infrastructure and token costs, and embedding AI into day-to-day business workflows. As a result, AI initiatives often remain confined to pilots, fail to meet regulatory and risk requirements, or deliver limited return on investment.

EXL’s new agentic AI solutions address these challenges through an integrated, enterprise-ready approach that combines data readiness, agent development, governance and domain expertise into a unified operating model.

New capabilities added to the EXLerate.ai platform include EXL Agent Studio, a no-code, autonomous agent-building platform designed to expedite the deployment of enterprise-grade AI agents, and the EXL Governance Hub, a library of more than 40 specialized models that have been designed specifically for enterprise-grade work with built-in guardrails to support responsible AI deployment.

In addition, EXL unveiled its new decision intelligence solution, EXLdecision.ai, designed to enable the development of smarter and more transparent analytical models, at a faster pace. It accelerates the end-to-end model development lifecycle by approximately 30–50% by leveraging a suite of specialized AI agents that support every stage—from data preparation and feature engineering to model development, testing, documentation, and ongoing monitoring. By combining deep domain expertise with agentic AI orchestration, EXLdecision.ai empowers organizations to move from insight to action more quickly and effectively.

The launch also included a series of new domain-specific workflow solutions that embed agentic AI directly into business processes across industries. For example, the newly launched EXL ClaimsAssist.ai solution reimagines the complex and heavily manual insurance claims management process as a fully automated, agentic workflow to streamline property and casualty insurance operations, reduce claims cycle times and drive faster payouts to customers.

At the foundation of this ecosystem is EXLdata.ai, which strengthens data quality, governance, lineage and accessibility, helping organizations establish a trusted, compliant data foundation for enterprise-scale AI. The latest enhancements expand EXLdata.ai's language support and platform coverage, enabling organizations to operationalize AI-ready data across a wider range of technology environments. Additionally, new modules have been introduced to address a wider range of use cases, providing purpose-built solutions for emerging data challenges such as optimizing data estates, processing unstructured data, integrating real-time data and harmonizing cross-function data.

By integrating data, agents, decision intelligence, governance and domain workflows into a unified ecosystem, EXL is helping enterprises operationalize AI at scale and accelerate time-to-value.

These innovations will be showcased and demonstrated at (Americas – March 11; EMEA – March 18; and APAC – March 24): .

For more information about EXL’s AI capabilities and innovations, visit

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 65,000 employees spanning six continents. For more information, visit

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.

Media Contact

Keith Little



EN
11/03/2026

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