Citi’s 2026 Global TMT Conference
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Exlservice (EXLS) Citi’s 2026 Global TMT Conference summary

Event summary combining transcript, slides, and related documents.

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Citi’s 2026 Global TMT Conference summary

8 Sep, 2026

Strategic 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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