Detailed Narrative
Data and AI-led Strategy and Performance
EXL's data and AI-led revenue accelerated to 30% year-over-year growth in Q2 2026, now comprising 61% of total revenue. This growth is broad-based across data management, AI services, payment integrity, and AI-led operations, driven by enterprises moving from AI proof-of-concept to implementation. The company's expertise in domain context, data, and AI engineering is central to helping clients operationalize AI effectively, creating a tailwind for investment dollars focused on measurable business outcomes.
Evolution of Digital Operations
Digital operations revenue declined 1.5% year-over-year, which management explicitly stated is 'by design.' This reflects a strategic shift where AI embedded into operations engagements moves related revenue into the higher-value data and AI-led category. Total operations revenue, including both digital and AI-led, grew 10% year-over-year, indicating healthy underlying growth and a mutually reinforcing cycle between operational expertise and AI capabilities, driving greater value to clients and supporting durable recurring growth.
Segment Performance Highlights
All four operating segments demonstrated strong performance in the quarter. Insurance grew 15% year-over-year, Healthcare and Life Sciences grew 22% year-over-year (driven by payment services and analytics), Banking, Capital Markets and Diversified Industries grew 11% year-over-year, and International Growth Markets accelerated to 15% year-over-year growth due to new client wins and ramp-ups. This broad-based growth across segments contributed to the overall strong Q2 results.
iMerit Acquisition and Strategic Rationale
The acquisition of iMerit, a recognized leader in AI model training, evaluation, and reinforcement learning, is expected to close on July 31. This deal is viewed as a transformational pivot for EXL, bringing established relationships with leading foundation model companies and deepening vertically specialized AI capabilities. It expands EXL's total addressable market into high-growth AI tech sectors and aligns with the Gartner prediction that open-source GenAI models will underpin over 50% of enterprise use cases by 2028, particularly in regulated industries.
Token Optimization and AI Efficiency
EXL highlighted its capability in token optimization, which is becoming increasingly important for scaling AI services. By working inside client workflows, EXL can reduce client token consumption by as much as 80%, helping them conserve spend and make their AI systems dramatically more efficient without compromising quality or latency. This capability requires deep knowledge of workflows, regulatory context, and data estate ontologies, differentiating EXL from simple technology plug-and-play solutions.
Investment Priorities and Capital Allocation
The company outlined investment priorities to extend its competitive advantage, focusing on proprietary IP solutions that move it up the value chain and targeted M&A. Strong free cash flow and an underlevered balance sheet provide flexibility for continued share repurchases and strategic acquisitions. Investments will increase in the second half of 2026 in front-end sales and data/AI capabilities and solutions to drive future growth, even if it leads to a temporarily lower adjusted operating margin.