Latest news with #EXL
New York Post
5 days ago
- Business
- New York Post
EXL exec Narasimha Kini on how AI can supercharge growth
EXL is making its big debut at Cannes Lions– even though the company has been around for 26 years. The global analytics and digital solutions firm uses artificial intelligence and data to help clients across industries from insurance, media and healthcare to banking, financial services and retail, reimagine their business models to accelerate growth. Executive vice president Narasimha Kini, who leads EXL's banking and capital markets and diversified industries market units, spoke to The Post about the increasing importance of AI and how his company helps clients navigate the uncertain economic landscape. Q: What is EXL's mission? Narasimha Kini: EXL is committed to driving business forward with data and AI. We believe there is always a better way. We look deeper, we find it, and we make it happen. By integrating data, and AI with our deep industry expertise, EXL empowers businesses across various sectors, including insurance, banking and finance, healthcare, retail, media, entertainment and infrastructure to transform workflows and grow their businesses. 3 EXL executive vice president Narasimha Kini. EXL Q: How has the company evolved since it was founded in 1999 and what has propelled its growth? NK: We started off as a business process operations company, so we were always focused on understanding the details of our clients' operational workflows and finding ways to improve them. EXL was uniquely positioned when the AI Supercycle began a couple of years ago. Our focus has always been on helping our clients embed data and AI into their operational workflows, and the growth of AI really played into that strength. Q: What solutions do you provide for clients? NK: EXL provides a wide range of data, analytics, AI and operations management solutions to help clients streamline complex workflows, automate manual, labor-intensive processes and improve customer experience. Q: How does EXL use AI and data management to help clients? NK: The key to our business and the reason why we've been positioned so well to take advantage of the growth of AI is that we focus on helping big organizations – insurance companies, banks, retail and media companies – improve their workflows. We look at all the steps in a complex process like insurance underwriting or investment management customer experience and we find ways to improve each step in the process by integrating disparate data sets, surfacing important insights and automating redundant processes. That's our focus with AI, embedding it into those workflows to improve every step in the process. 3 EXL Services ringing the Nasdaq Exchange's opening bell last June to fete the company's 25 years in business. EXL Q: Can you provide an example of a success story? NK: We work with almost all the major sports leagues. The sports industry is embracing digital transformation with a focus on fan engagement, data monetization, and athlete well-being. To elevate fan experiences, we launched an AI-driven solution that unifies fan data, segments audiences, and delivers personalized engagement. Leveraging journey analytics and data clean rooms. For our clients, the solutions have delivered, 35% increase in fan engagement, 60% boost in marketing ROI and significant ticket sales growth, it additionally revealed that 20% of fans drive nearly 50% of revenue, enabling smarter campaigns and better retention of high-value fans. On the field, our solution enhances athlete care through early risk detection leading to 15% reduction in injury rates and improved emergency readiness and performance. Q: What kinds of cost savings can brands expect working with EXL? NK: In our own original research, we've found that many companies are redefining their customer service with a product and pricing focus. Overall, US retailers reported 21% higher revenue and 20% cost reduction through AI, but they achieved priorities more frequently with AI. More than half say AI has redefined customer experience, supported new products and services, and accelerated real-time data. Q: How does EXL use AI and data management to help clients? 3 EXL, which is making its Cannes Lions debut, uses data and AI to help clients streamline and grow their businesses. WireImage NK: EXL uses AI and data management to help clients unlock business value by improving decision-making, automating processes, enhancing customer experiences, and driving operational efficiency. We combine deep domain expertise with advanced analytics, AI, and proprietary data platforms to help organizations transform how they operate and compete. Q: You have partnerships with some of the biggest companies, including chip maker Nvidia. How do you work with them? NK: We recently developed a proprietary EXL Insurance Large Language Model (LLM) leveraging NVIDIA AI Enterprise. It was the first industry-specific LLM created to support critical claims and underwriting-related tasks, such as claims reconciliation, data extraction and interpretation, question-answering, anomaly detection and chronology summarization. The EXL Insurance LLM was developed to address the highly specialized needs of the insurance industry, which has struggled to leverage off-the-shelf, general LLMs that lack fine-tuning of private insurance data and domain-specific understanding of business process operations. Generic LLMs also fail to address the nuanced challenges faced by insurance companies during claim adjudication, leading to inefficiencies, high indemnity costs, claims leakage, longer settlement timelines, and increased compliance risks. By focusing exclusively on insurance-related tasks, EXL has incorporated its deep knowledge of the insurance industry and highly tailored proprietary data to create the industry's most accurate LLM. EXL customized the LLM using the NVIDIA NeMo end-to-end platform, part of the NVIDIA AI Enterprise Software Platform, for training, customization, and deployment, and to handle question-and-answer tasks and summarization. Q: Are the Trump tariffs impacting your clients? If so, how? How are you helping them navigate? NK: Global trade dynamics have shifted significantly with the rise of sudden tariff implementations and unpredictable trade policy changes. For supply chain leaders, these changes create a ripple effect—heightened costs, operational disruptions, and increased risks. Combine these with delayed lead times and misaligned inventory levels, and the challenge becomes clear. EXL's AI-driven solutions are empowering supply chain management leaders to overcome these complexities. From demand forecasting to sourcing optimization, here's how AI can create resilient, efficient supply chains in the face of tariff-related challenges. Q: How does that work exactly? NK: AI's ability to analyze complex datasets, predict scenarios, and recommend actionable strategies makes it indispensable for supply chain resilience. One of EXL's newest AI solutions is a supply chain optimization solution that CPG [consumer packaged goods] companies are using to quickly identify their line item-by-line item exposure to tariffs, predict cost impacts and optimize their supply chains as tariff news changes by the minute.
Yahoo
5 days ago
- Business
- Yahoo
Q1 Earnings Highlights: EXL (NASDAQ:EXLS) Vs The Rest Of The Data & Business Process Services Stocks
The end of an earnings season can be a great time to discover new stocks and assess how companies are handling the current business environment. Let's take a look at how EXL (NASDAQ:EXLS) and the rest of the data & business process services stocks fared in Q1. A combination of increasing reliance on data and analytics across various industries and the desire for cost efficiency through outsourcing could mean that companies in this space gain. As functions such as payroll, HR, and credit risk assessment rely on more digitization, key players in the data & business process services industry could be increased demand. On the other hand, the sector faces headwinds from growing regulatory scrutiny on data privacy and security, with laws like GDPR and evolving U.S. regulations potentially limiting data collection and monetization strategies. Additionally, rising cyber threats pose risks to firms handling sensitive personal and financial information, creating outsized headline risk when things go wrong in this area. The 11 data & business process services stocks we track reported a satisfactory Q1. As a group, revenues beat analysts' consensus estimates by 1.3% while next quarter's revenue guidance was in line. Thankfully, share prices of the companies have been resilient as they are up 7.9% on average since the latest earnings results. Originally founded as an outsourcing company in 1999 before evolving into a technology-focused enterprise, EXL (NASDAQ:EXLS) provides data analytics and AI-powered digital operations solutions that help businesses transform their operations and make better decisions. EXL reported revenues of $501 million, up 14.8% year on year. This print exceeded analysts' expectations by 2%. Overall, it was a satisfactory quarter for the company with a solid beat of analysts' EPS estimates but a slight miss of analysts' full-year EPS guidance estimates. Chairman and Chief Executive Officer Rohit Kapoor said, 'We are pleased with our first quarter results and strong start to the year, as we delivered revenue and adjusted diluted EPS growth of 15% and 27% respectively. Our strong business momentum underscores the successful execution of our differentiated data and AI-led strategy and demonstrates the enduring resilience and adaptability of EXL's business model.' EXL pulled off the fastest revenue growth of the whole group. Unsurprisingly, the stock is up 5% since reporting and currently trades at $47.25. Is now the time to buy EXL? Access our full analysis of the earnings results here, it's free. Powering billions of critical customer interactions annually, CSG Systems (NASDAQ:CSGS) provides cloud-based software platforms that help companies manage customer interactions, process payments, and monetize their services. CSG reported revenues of $299.5 million, up 1.5% year on year, outperforming analysts' expectations by 1.4%. The business had an exceptional quarter with full-year revenue guidance exceeding analysts' expectations and a solid beat of analysts' EPS estimates. CSG scored the highest full-year guidance raise among its peers. The market seems content with the results as the stock is up 2.9% since reporting. It currently trades at $63.07. Is now the time to buy CSG? Access our full analysis of the earnings results here, it's free. Processing over $10 trillion in equity and fixed income trades daily and managing proxy voting for over 800 million equity positions, Broadridge Financial Solutions (NYSE:BR) provides technology-driven solutions that power investing, governance, and communications for banks, broker-dealers, asset managers, and public companies. Broadridge reported revenues of $1.81 billion, up 4.9% year on year, falling short of analysts' expectations by 2.5%. It was a slower quarter, leaving some shareholders looking for more. Broadridge delivered the weakest performance against analyst estimates in the group. As expected, the stock is down 2% since the results and currently trades at $237.18. Read our full analysis of Broadridge's results here. Holding detailed financial records on over 800 million consumers worldwide and dating back to 1899, Equifax (NYSE:EFX) is a global data analytics company that collects, analyzes, and sells consumer and business credit information to lenders, employers, and other businesses. Equifax reported revenues of $1.44 billion, up 3.8% year on year. This print surpassed analysts' expectations by 1.7%. Aside from that, it was a satisfactory quarter as it also produced an impressive beat of analysts' EPS estimates. The stock is up 27% since reporting and currently trades at $273.10. Read our full, actionable report on Equifax here, it's free. Known for its proprietary D-U-N-S Number that serves as a unique identifier for businesses worldwide, Dun & Bradstreet (NYSE:DNB) provides business decisioning data and analytics that help companies evaluate credit risks, verify suppliers, enhance sales productivity, and gain market visibility. Dun & Bradstreet reported revenues of $579.8 million, up 2.7% year on year. This result was in line with analysts' expectations. It was a strong quarter as it also put up a decent beat of analysts' EPS estimates. The stock is flat since reporting and currently trades at $9.04. Read our full, actionable report on Dun & Bradstreet here, it's free. In response to the Fed's rate hikes in 2022 and 2023, inflation has been gradually trending down from its post-pandemic peak, trending closer to the Fed's 2% target. Despite higher borrowing costs, the economy has avoided flashing recessionary signals. This is the much-desired soft landing that many investors hoped for. The recent rate cuts (0.5% in September and 0.25% in November 2024) have bolstered the stock market, making 2024 a strong year for equities. Donald Trump's presidential win in November sparked additional market gains, sending indices to record highs in the days following his victory. However, debates continue over possible tariffs and corporate tax adjustments, raising questions about economic stability in 2025. Want to invest in winners with rock-solid fundamentals? Check out our Top 6 Stocks and add them to your watchlist. These companies are poised for growth regardless of the political or macroeconomic climate. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
New York Post
6 days ago
- Business
- New York Post
EXL exec Nasasimha Kini on how AI can supercharge growth
EXL Services is making its big debut at Cannes Lions– even though the company has been around for 26 years. The global analytics and digital solutions firm uses artificial intelligence and data to help clients across industries from insurance, media and healthcare to banking, financial services and retail, reimagine their business models to accelerate growth. Executive vice president Narasimha Kini, who leads EXL's banking and capital markets and diversified industries market units, spoke to The Post about the increasing importance of AI and how his company helps clients navigate the uncertain economic landscape. Q: What is EXL's mission? Advertisement Narasimha Kini: EXL is committed to driving business forward with data and AI. We believe there is always a better way. We look deeper, we find it, and we make it happen. By integrating data, and AI with our deep industry expertise, EXL empowers businesses across various sectors, including insurance, banking and finance, healthcare, retail, media, entertainment and infrastructure to transform workflows and grow their businesses. 3 EXL Services executive vice president Narasimha Kini. EXL Q: How has the company evolved since it was founded in 1999 and what has propelled its growth? Advertisement NK: We started off as a business process operations company, so we were always focused on understanding the details of our clients' operational workflows and finding ways to improve them. EXL was uniquely positioned when the AI Supercycle began a couple of years ago. Our focus has always been on helping our clients embed data and AI into their operational workflows, and the growth of AI really played into that strength. Q: What solutions do you provide for clients? NK: EXL provides a wide range of data, analytics, AI and operations management solutions to help clients streamline complex workflows, automate manual, labor-intensive processes and improve customer experience. Q: How does EXL use AI and data management to help clients? Advertisement NK: The key to our business and the reason why we've been positioned so well to take advantage of the growth of AI is that we focus on helping big organizations – insurance companies, banks, retail and media companies – improve their workflows. We look at all the steps in a complex process like insurance underwriting or investment management customer experience and we find ways to improve each step in the process by integrating disparate data sets, surfacing important insights and automating redundant processes. That's our focus with AI, embedding it into those workflows to improve every step in the process. 3 EXL Services ringing the Nasdaq Exchange's opening bell last June to fete the company's 25 years in business. EXL Q: Can you provide an example of a success story? NK: We work with almost all the major sports leagues. The sports industry is embracing digital transformation with a focus on fan engagement, data monetization, and athlete well-being. Advertisement To elevate fan experiences, we launched an AI-driven solution that unifies fan data, segments audiences, and delivers personalized engagement. Leveraging journey analytics and data clean rooms. For our clients, the solutions have delivered, 35% increase in fan engagement, 60% boost in marketing ROI and significant ticket sales growth, it additionally revealed that 20% of fans drive nearly 50% of revenue, enabling smarter campaigns and better retention of high-value fans. On the field, our solution enhances athlete care through early risk detection leading to 15% reduction in injury rates and improved emergency readiness and performance. Q: What kinds of cost savings can brands expect working with EXL? NK: In our own original research, we've found that many companies are redefining their customer service with a product and pricing focus. Overall, US retailers reported 21% higher revenue and 20% cost reduction through AI, but they achieved priorities more frequently with AI. More than half say AI has redefined customer experience, supported new products and services, and accelerated real-time data. Q: How does EXL use AI and data management to help clients? 3 EXL, which is making its Cannes Lions debut, uses data and AI to help clients streamline and grow their businesses. WireImage NK: EXL uses AI and data management to help clients unlock business value by improving decision-making, automating processes, enhancing customer experiences, and driving operational efficiency. We combine deep domain expertise with advanced analytics, AI, and proprietary data platforms to help organizations transform how they operate and compete. Advertisement Q: You have partnerships with some of the biggest companies, including chip maker Nvidia. How do you work with them? NK: We recently developed a proprietary EXL Insurance Large Language Model (LLM) leveraging NVIDIA AI Enterprise. It was the first industry-specific LLM created to support critical claims and underwriting-related tasks, such as claims reconciliation, data extraction and interpretation, question-answering, anomaly detection and chronology summarization. The EXL Insurance LLM was developed to address the highly specialized needs of the insurance industry, which has struggled to leverage off-the-shelf, general LLMs that lack fine-tuning of private insurance data and domain-specific understanding of business process operations. Generic LLMs also fail to address the nuanced challenges faced by insurance companies during claim adjudication, leading to inefficiencies, high indemnity costs, claims leakage, longer settlement timelines, and increased compliance risks. By focusing exclusively on insurance-related tasks, EXL has incorporated its deep knowledge of the insurance industry and highly tailored proprietary data to create the industry's most accurate LLM. Advertisement EXL customized the LLM using the NVIDIA NeMo end-to-end platform, part of the NVIDIA AI Enterprise Software Platform, for training, customization, and deployment, and to handle question-and-answer tasks and summarization. Q: Are the Trump tariffs impacting your clients? If so, how? How are you helping them navigate? NK: Global trade dynamics have shifted significantly with the rise of sudden tariff implementations and unpredictable trade policy changes. For supply chain leaders, these changes create a ripple effect—heightened costs, operational disruptions, and increased risks. Combine these with delayed lead times and misaligned inventory levels, and the challenge becomes clear. EXL's AI-driven solutions are empowering supply chain management leaders to overcome these complexities. From demand forecasting to sourcing optimization, here's how AI can create resilient, efficient supply chains in the face of tariff-related challenges. Advertisement Q: How does that work exactly? NK: AI's ability to analyze complex datasets, predict scenarios, and recommend actionable strategies makes it indispensable for supply chain resilience. One of EXL's newest AI solutions is a supply chain optimization solution that CPG [consumer packaged goods] companies are using to quickly identify their line item-by-line item exposure to tariffs, predict cost impacts and optimize their supply chains as tariff news changes by the minute.
Forbes
05-06-2025
- Business
- Forbes
Reframing Compliance As A Strategic Advantage In Cross-Border Payments
Srinivas Vadhri, VP of Sales & Business Development at EXL In today's global economy, many businesses are more international than they think; they may partner with a software/tech company in another market, hire a talented employee or gig worker in another country or solicit a customer on a different continent. All of these use cases involve money moving from a payer (buyer) on the demand side to a payee (seller) on the supply side. McKinsey says cross-border payment flows were around $150 trillion in 2022. In my 20-plus years in fintech and the payments industry, I've noticed that as global demand for moving money increases, so do regulatory and compliance risks. The surge in cross-border transactions has brought both immense opportunity and increased regulatory scrutiny. Behind every seamless international payment lies a complex web of compliance rules, risk assessments and jurisdictional constraints. For business leaders, this hidden infrastructure isn't something you should talk about just on a department level; it should be a boardroom conversation. This is because the penalties for not handling it right are high, and it can lead to serious reputation and brand risks. Considering this, companies should view compliance as a long-term strategic differentiator and a competitive advantage. When funds flow across borders, companies face wide-ranging regulatory mandates: anti-money laundering (AML), know your customer/know your business (KYC/KYB), sanctions lists and data privacy regulations like the EU's General Data Protection Regulation and the California Consumer Privacy Act. A transaction between New York and Nairobi or Berlin and Bengaluru may look simple on the surface, but under the hood, it touches multiple jurisdictions, each with its own rules. As mentioned above, failure to comply isn't just risky—it's often expensive. Regulatory fines have surged globally, and enforcement actions now target not only traditional banks but also payment processors, fintechs and marketplaces. In a world where your reputation is currency, no business wants to make headlines for the wrong reasons. Fintech companies have upended the traditional payment space with faster transactions, transparent fees and user-friendly interfaces. If you're a business that wants to scale fast, your natural allies may be fintechs like Wise, Stripe, Airwallex and Nium, as they're already enabling small businesses and freelancers. Note: Certain fintechs that exclusively focus on regulatory technologies are called 'regtech.' But with speed and scale come challenges. Many fintechs operate with lean compliance teams, numerous partnerships (creating counterparty risks), ongoing technology investments and fast-changing product lines. They often rely on local banking partners or banking-as-a-service platforms to meet licensing and regulatory requirements. This can lead to inconsistent oversight, especially as transaction volumes scale or customer bases diversify into high-risk regions. The core challenge: Fintechs are building for growth while regulators are enforcing oversight on risks and controls. Most banks, by contrast, are built for regulatory resilience. Decades of experience with compliance frameworks, regulator relationships and enterprise-grade risk systems make them natural stewards of cross-border financial integrity. However, banks often struggle with agility. Legacy infrastructure, long onboarding times and fragmented digital experiences have left them vulnerable to more nimble, customer-centric fintech challengers. Where banks see structure, fintechs see rigidity. And where fintechs see speed, banks see exposure due to a lack of controls. That's why the next wave of global financial infrastructure will likely be powered by strategic collaboration between fintech and banks, using artificial intelligence and machine learning tools. Using AI/ML, modern regtech tools can automate KYB/KYC, document verification, risk scoring and behavioral monitoring—functions that previously required large teams and manual reviews. From what I've observed, fintechs lead in AI/ML adoption (with regtech), offering services such as instant ID verification, real-time transaction monitoring and predictive risk modeling. Banks leverage AI/ML for applications like risk management, fraud prevention and customer service. Successful cross-border payment solutions will combine fintech innovation with bank-grade compliance and oversight. When cross-border payments are involved, compliance can lead to growth when it's handled correctly. Here are a few steps to get to the final state. One of the first things that businesses involved in cross-border payments must do is shift from 'compliance as a cost' to 'compliance as a moat." Ensure your chief financial officer, chief revenue officer and chief technology officer are aligned on regulatory agility and innovation. Should you build or partner? This is an important step as part of your short-term, medium-term and long-term strategy. Option A: Build A Hybrid Stack Internally If you're a large, digitally mature enterprise with the ability to invest in tech, talent and bank licensing, your best option may be to build a stack. Partner with a reputable regtech tools provider that's adept at offering AI- and ML-based modeling tools suitable for global workflows. Invite select tool providers for a deep dive into functionality for a cross-functional team. Don't hesitate to hire a consultant for an objective view. Option B: Partner With Pre-Integrated Fintech/Bank/AI Ecosystems If you need speed, scalability and domain expertise without building from scratch, look for fintechs that have multiple active bank partnerships globally. I recommend partners that follow a risk-based onboarding approach, which involves a lower level of due diligence for lower-risk clients than for high-risk clients. Other factors to consider include compliance strength (licenses), tech and platform capabilities (AI and ML), risk transparency (explainable ML models, audit logs) and, more importantly, geographic reach. Create a joint governance structure with a review of key performance indicators and success metrics, and include conversations around AI and ML tools. As part of your go-to-market plan, highlight the choices you've made: adherence to compliance from the ground up and partnering with leading fintechs and banks that have embraced an AI/ML tech stack. You can build trust by communicating a forward-thinking mindset for your product strategy. In cross-border payments, the line between compliance and growth is fading. Compliance is growth when handled right. Regtech-enabled fintechs offer agility and customer focus; banks provide regulatory strength and trust. The winners will be those who combine both, powered by AI/ML innovation. Forbes Business Development Council is an invitation-only community for sales and biz dev executives. Do I qualify?
Yahoo
30-05-2025
- Business
- Yahoo
EXL partners with Databricks to launch Gen-AI powered code migration accelerator
EXL Code Harbor™ solution speeds code migration from SAS to Databricks with up to 80% reduction in manual effort NEW YORK, May 30, 2025 (GLOBE NEWSWIRE) -- EXL [NASDAQ: EXLS], a leading data and AI company, expanded its partnership with Databricks, the data and AI company, to deploy a GenAI-enabled SAS to Databricks Data Intelligence Platform migration solution. Leveraging EXL's Code Harbor™ solution, the solution helps enterprises streamline their transition from SAS to Databricks to support enhanced cloud modernization initiatives. EXL has also achieved Select partner status with Databricks to accelerate the development of new AI and GenAI solutions within the Databricks ecosystem. EXL's Code Harbor is a GenAI-enabled solution that facilitates the migration of legacy codebases into the modern open-source languages and cloud environments like Databricks Lakehouse. EXL has refined the solution to automate key aspects of SAS to Databricks migration, significantly reducing manual effort while facilitating high-quality code transformation. EXL Code Harbor is designed for multi-industry usage across insurance, banking and healthcare where SAS has traditionally maintained a strong presence. In addition to SAS, the solution also supports migration and assessment of other languages including BTEQ, HQL, PL/SQL, SQL Server and R, in addition to ETL platforms such as Informatica, Alteryx and DataStage. Clients using EXL Code Harbor benefit from EXL's deep domain expertise and advanced AI capabilities while retaining the flexibility to integrate with on-premises, cloud and hybrid environments. A leading global insurance provider recently partnered with EXL to migrate its extensive SAS codebase to the Databricks Data Intelligence Platform using Code Harbor. The client achieved 50% faster migration with minimal manual intervention, improved compliance through comprehensive metadata documentation and drove integration with their governance frameworks. 'The biggest challenge enterprises face when migrating from legacy systems is the time, cost and complexity involved in transforming extensive codebases,' said Anand 'Andy' Logani, EXL's chief digital and AI officer. 'By providing an intelligent automation solution with embedded AI agents, clients can now accelerate their migration timelines by up to 50% while reducing manual efforts by 70-80%.' Unlike traditional migration approaches that rely heavily on manual processes, EXL Code Harbor utilizes an autonomous multi-agent framework to accelerate enterprise-scale code and data transformation. Leveraging Databricks' Unity Catalog and governance layer, the SAS to Databricks solution accelerator ensures enterprise-grade discoverability, traceability and compliance across every annotation asset. By automating the manual effort involved in assessing, writing and optimizing code, the solution transforms the entire migration process, leading to faster delivery, reduced costs and improved accuracy. More information about EXL Code Harbor can be found 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 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. ContactsMedia Keith Little+1 703-598-0980 Investor RelationsJohn Kristoff+1 212 209 4613IR@ in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
