As frontier models become commoditized, the real differentiator is what enterprises build on top of them: decision data that encodes years of institutional judgment and domain expertise. In a new TechCrunch article, EXL's Chairman and Chief Executive Officer Rohit Kapoor breaks down why specialized AI models are becoming a strategic asset class, and shares a checklist for leaders ready to move beyond frontier model access. Read the full article at the link in our comments.
About us
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
- Website
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http://www.exlservice.com
External link for EXL
- Industry
- Business Consulting and Services
- Company size
- 10,001+ employees
- Headquarters
- New York, NY
- Type
- Public Company
- Specialties
- Operations Management, Decision Analytics, Technology Platforms, Healthcare, Finance & Accounting, Insurance, Risk & Financial Management, Travel, Transportation and logistics, Banking and Financial Services, Operations & Process Excellence, Utilities, Analytics, Digital Transformation, Management Consulting, Finance Transformation, IT Audit, Artificial Intelligence, Automation, Robotics, Machine Learning, and NLP
Locations
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Primary
Get directions
320 Park Avenue
29th Floor
New York, NY 10022, US
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10 Exchange Pl
Jersey City, NJ 07302, US
Employees at EXL
Updates
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In the latest episode of 𝘛𝘢𝘭𝘦𝘯𝘵 𝘜𝘯𝘧𝘪𝘭𝘵𝘦𝘳𝘦𝘥 by Indeed, Shirley Macbeth, joins Rohan Sylvester to explore why authenticity matters more than ever and how organizations can bring the same rigor to employer branding that they bring to customer marketing. Shirley shares how AI can elevate our work and why employees can become a brand’s strongest advocates. Watch the conversation to hear Shirley’s take on AI, authenticity and the future of employer branding: https://lnkd.in/giXPbpis #ThisIsEXL #EXLGoBeyond
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The countdown to Everest Engage 2026 is on. As a Gold Sponsor, we're looking forward to another week of insightful discussions, client conversations, analyst engagement, and thought leadership around the trends shaping the future of business transformation. We can't wait to reconnect with familiar faces and meet new ones as we exchange ideas, explore emerging opportunities, and discuss how organizations are driving measurable impact through data, AI, and domain expertise. #EverestEngage #DataAI #BusinessTransformation
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AI investment in banking and capital markets keeps climbing. Measurable returns haven't kept pace. That gap is the entire focus of an intimate, invitation-only executive roundtable built for senior leaders who are past the hype and asking one question: how do we actually make this work? 𝗦𝗲𝗮𝘁𝘀 𝗮𝗿𝗲 𝘀𝘁𝗿𝗶𝗰𝘁𝗹𝘆 𝗹𝗶𝗺𝗶𝘁𝗲𝗱 𝘁𝗼 𝗽𝗿𝗼𝘁𝗲𝗰𝘁 𝗰𝗮𝗻𝗱𝗶𝗱, 𝗽𝗲𝗲𝗿-𝗹𝗲𝘃𝗲𝗹 𝗱𝗶𝗮𝗹𝗼𝗴𝘂𝗲. Across the evening, we'll move from strategy to specifics: 🔹 Infrastructure to outcomes: what it takes to turn AI-ready data, intelligent decisioning, and responsible governance into real business results. 🔹 What's working: practical lessons from AI deployments across customer experience, operations, risk, and fraud, including what delivered and what didn't. 🔹 What's next: how generative AI, agentic AI, and evolving operating models will shape the next phase of adoption. We'll close over dinner, where the best conversations tend to happen once the agenda steps aside. This is for CEOs and senior executives in banking and capital markets leading AI strategy, transformation, operations, risk, or technology. 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝘁𝗮𝗸𝗲 𝗽𝗮𝗿𝘁 𝗶𝗻 𝘁𝗵𝗶𝘀 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻? 𝗥𝗲𝗾𝘂𝗲𝘀𝘁 𝘆𝗼𝘂𝗿 𝗶𝗻𝘃𝗶𝘁𝗮𝘁𝗶𝗼𝗻 𝘂𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗲𝘃𝗲𝗻𝘁 𝗳𝗼𝗿𝗺 𝗯𝗲𝗹𝗼𝘄! #AIinBanking #CapitalMarkets #GenerativeAI
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Claims organizations are facing increasing complexity, rising costs, and growing expectations for faster resolution. At NAMIC's 131st Annual Convention, EXL will showcase how our Record Retrieval, Medical Summarization, and Litigation Solutions help insurers streamline workflows, accelerate decision-making, and improve outcomes across the claims lifecycle. Connect with Captain Saju Cherian, Decorated Veteran and Paul T. at Booth #415 in Denver and discover what's possible when domain expertise meets innovation. #NAMIC2026 #InsuranceTechnology #ClaimsTransformation #InsurTech
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It was a pleasure to join leaders, innovators, and professionals for Worshipful Company of Insurers' "𝗢𝘄𝗻 𝘁𝗵𝗲 𝗦𝗵𝗶𝗳𝘁: 𝗪𝗼𝗺𝗲𝗻, 𝗔𝗜 & 𝘁𝗵𝗲 𝗠𝘂𝗹𝘁𝗶-𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗪𝗼𝗿𝗸𝗳𝗼𝗿𝗰𝗲", hosted in partnership with WCI iWIN and proudly sponsored by EXL and SCOR. The discussion explored the real impact of AI in today's workplace, how leadership is evolving in response to technological change, the challenges organisations face in adopting AI effectively, and the importance of building confidence to lead through uncertainty. What stood out most was the richness of perspectives shared across generations and industries. The conversations reinforced that while AI will continue to reshape the future of work, success will depend on inclusive leadership, continuous learning, and empowering people to embrace change. A sincere thank you to Ferhet Mohammed (Aviva), Susan Andrew (Brit Insurance), and Shivani Gupta (EXL) for sharing their expertise and perspectives during an insightful panel discussion. Special thanks to Charanya Mukundan (Aon) for the invaluable contribution in making this event such a resounding success. #OwnTheShift #WomenInLeadership #FutureOfWork #AI #DigitalTransformation
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Thanks to everyone who stopped by the EXL Coffee Cart at Databricks Data + AI World Tour Sydney and shared their perspectives. Our conversations were not about the newest models or the latest use cases, but instead centered on trust: • Is our data ready for AI? • Can we explain AI-driven decisions? • How do we govern AI at scale? • How do we stay compliant as regulations evolve? One insight stood out most: most organizations have plenty of AI ambition, but what holds them back is data readiness. If these challenges resonate, EXL is offering a complimentary AI & Data Readiness Assessment to help organisations understand their current maturity, identify gaps, and build a practical roadmap for scaling AI with confidence. #DataReadiness #ResponsibleAI #DataAI #AIGovernance
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Collections teams are sitting on more signals than ever, but too often, those signals remain disconnected. EXL’s Daniel Yakimenko and Mike Walsh join Adam Parks to explore how connecting the right signals can lead to smarter collections decisions. The conversation looks at: • Digital engagement signals • Promise-to-pay behavior • Collector notes and call transcripts • Unstructured data • Real-time AI-driven decisioning 𝗧𝗵𝗲 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆: Better collections decisions don’t necessarily require more data. They require better-connected data and the ability to act on it. Listen via the link in the comments. #AI #Collections #Receivables #Data #FinancialServices
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As AI moves deeper into banking operations, fragmented data, overnight processing, and manual reconciliation are becoming more than technology challenges. They can slow decision-making, limit workflow automation, and make it harder to scale AI across the enterprise. The next phase of AI transformation depends on more than stronger models. Banks need trusted, governed data that is available when decisions are made and workflows are in motion. Swipe through to see what is holding banks back and where to start building an AI-ready data foundation. Read the full article via the link in the comments. #BankingTechnology #DataStrategy #GenAI #FinancialServices