Investor Day presentation
Logotype for Mphasis Limited

Mphasis (526299) Investor Day presentation summary

Event summary combining transcript, slides, and related documents.

Logotype for Mphasis Limited

Investor Day presentation summary

27 May, 2026

Strategic vision and platform evolution

  • Focus on transitioning from traditional IT services to an enterprise agency model, emphasizing governed, outcome-driven AI solutions for business transformation.

  • Launch of Mphasis Tria™, an enterprise agency platform built on a three-layer architecture: Insight, Foresight, and Execute, designed to convert enterprise knowledge into governed decisions and measurable outcomes.

  • Shift from selling effort and capacity to delivering business outcomes, governance, and speed, moving from technology implementation to business transformation.

  • Four-pillar transformation thesis: AI-first platform, FDES operating model, ARR revenue transformation, and defining the enterprise agency category.

  • Platform strategy includes Modernize and Optimize product lines, targeting process, business operations, and technology stack modernization, as well as continuous commercial and operational performance improvement.

Financial performance and growth drivers

  • Achieved $2.1B in FY26 NN TCV, representing 68% YoY growth, with 69% of deals being AI-led.

  • FY26 revenue reached $1.8B, with 8.9% direct YoY growth and 15.3% EBIT margin.

  • Large deals ($100M+) increased, with a significant shift to fixed-price, outcome-based contracts, driving margin expansion.

  • Strategic capital allocation includes 1.5% of revenues to AI platform investments and 0.3% to the Strategic Engagement Team, with a consistent 60% payout ratio.

  • Business model evolving over the next three years toward platform + outcomes, ARR compounding, and new operating metrics such as ARR, platform attach rate, and net retention rate to be reported from FY28.

Market positioning and competitive differentiation

  • Positioned as a leader in enterprise agency, combining proprietary platforms, domain-specific AI/ML, and deep institutional knowledge to deliver governed, accountable outcomes.

  • Differentiation from hyperscalers, AI-native startups, and traditional SIs through brownfield integration, regulatory alignment, and full outcome accountability.

  • Strong C-level relationships, reputation for quality engineering, and domain expertise across regulated industries underpin large deal wins and multi-year engagements.

  • Strategic Engagement Team (SET) has driven a 4x pipeline growth in 18 months, with average large deal size increasing from $54M to $75M YoY.

  • Value-based pricing models now capture a percentage of client value, including platform fees, setup, and managed services.

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