Exlservice (EXLS) Citi’s 2026 Global TMT Conference summary
Event summary combining transcript, slides, and related documents.
Citi’s 2026 Global TMT Conference summary
8 Sep, 2026Strategic evolution and business model
Transitioned from BPO to data analytics in 2006, now positioned as a data and AI company with significant investments in data management and AI capabilities.
Acquired iMerit to enhance model evaluation, red teaming, and AI model development for enterprise clients, supporting both foundational and proprietary models.
61% of portfolio is data and AI-led services, growing at 30% year-on-year; operations management, including embedded AI, is growing at 10%.
Commercial models are shifting toward outcome-based pricing, with risk-sharing and productivity-based gains.
25% of revenue touches proprietary IP, driving differentiation, higher value, and stickier client relationships.
AI integration and operational impact
AI implementation in enterprise requires deep domain knowledge, clean data estates, and iterative model improvement, achieving a 94% success rate versus a 30% industry average.
AI is embedded in over 2,000 unique operational processes, with current maturity at early stages (L1-L2), focusing on data extraction, querying, and basic recommendations.
Only 20-25% of digital operations are currently outsourced, leaving significant room for expansion as AI demonstrates ROI and builds client confidence.
Net recurring revenue in operations is growing, with a ratio of 1.1, indicating continuous expansion of client engagements.
Market dynamics and competitive positioning
AI-driven business outcomes and reliability are key differentiators, enabling competition against larger IT firms and multinationals.
Demand is strong for both operations and data/AI services, with no significant exposure to discretionary spending cuts or geographic/client concentration risks.
Sales cycles for AI projects are short but start small; rapid expansion follows demonstrated success.
Clients are increasingly willing to outsource digital operations to leverage AI and automation, reducing previous resistance.
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Q3 2024