EXL
Global data and AI transformation partner for enterprise operations
About EXL
EXL is a global data and AI services provider with 60,000+ professionals across six continents, serving Fortune 1,000 and Global 2,000 clients. The company delivers data modernization, artificial intelligence implementation, and AI-powered operations to organizations in insurance, healthcare, banking, retail, media, and energy sectors.
EXL's approach centers on integrating deep industry knowledge with cutting-edge AI technologies including machine learning, cloud computing, and their proprietary EXLerate.AI platform. The company recently launched EXLdata.ai in partnership with Databricks, an agentic AI-native suite designed to make enterprise data AI-ready. EXL reports a 90% AI implementation success rate, significantly higher than the industry average of 30%.
The firm serves 8 of the top 10 US health payers and maintains strategic partnerships with major technology providers including Google Cloud, Microsoft, AWS, NVIDIA, and Snowflake. With 25+ years of experience, EXL has evolved from business process services to become a recognized leader in enterprise AI transformation, achieving recognition from Everest Group and HFS Research for its data and AI capabilities.
Best For
EXL is best suited for large healthcare payers, health systems, and life sciences companies seeking comprehensive AI and data transformation at enterprise scale. Organizations with complex operational challenges requiring deep analytics expertise and proven AI implementation methodologies will find strong alignment with EXL's capabilities.
Key Strengths
- 90% AI implementation success rate versus 30% industry average, demonstrating proven execution methodology
- Serves 8 of top 10 US health payers with 25+ years healthcare industry experience
- Global delivery capacity with 60,000+ professionals across six continents for scalable support
- Comprehensive technology partnerships with Google Cloud, Microsoft, AWS, NVIDIA, and Databricks
- Proprietary EXLerate.AI and EXLdata.ai platforms for accelerated AI deployment
- Recognized as leader in data and AI services by Everest Group and HFS Research
Why Choose EXL
Choose EXL when your healthcare organization requires proven enterprise AI transformation capabilities backed by a track record of successful large-scale implementations. Their strength lies in combining deep industry expertise with cutting-edge AI technologies to reimagine workflows and deliver measurable outcomes at scale.
Organizations should expect a comprehensive partnership approach that integrates data modernization, advanced analytics, and AI-powered operations. The engagement model focuses on transforming enterprise workflows rather than point solutions, making EXL appropriate for organizations ready for significant operational change.
Healthcare Focus
EXL maintains significant healthcare expertise serving 8 of the top 10 US health payers within their Health & Life Sciences vertical. The company offers specialized solutions for healthcare including generative AI strategy development, healthcare operations transformation, and advanced analytics for payers and life sciences organizations.
Their healthcare work spans payer operations, claims processing, member services, and life sciences commercial operations. While healthcare represents one of seven industry verticals alongside banking, insurance, and retail, EXL brings 25+ years of healthcare-specific experience to engagements.
Ideal Client Profile
Large health payers, integrated delivery networks, and life sciences enterprises with complex operational challenges and budgets exceeding $1M for transformation initiatives. Organizations must be prepared for comprehensive change management and have executive commitment to enterprise-wide AI adoption across multiple workflows.
Specializations
Client Types
Why Choose EXL?
- 500+ team members
- 3 certifications verified
- Select Partner on Curatrix
- Verified on Curatrix
Quick Facts
- Headquarters
- United States
- Company Size
- 500+ employees
Certifications
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Profile last updated: Jan 25, 2026
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