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    How AI and Graph Analytics Transformed Customer Insights for a Leading US Bank

    Highlights

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    Delivered a unified 360° customer view by integrating graph analytics into existing systems.

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    Equipped bankers with real-time, actionable relationship insights via a user-friendly UI.

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    Established a scalable, future-ready AI/ML foundation supporting fraud detection and compliance.

    Overview

    A leading US bank partnered with us to address gaps in uncovering hidden customer relationships. Legacy systems failed to capture complex personal-business linkages, limiting cross-sell potential and increasing risk. Our AI-driven graph solution delivered a 360° view of customer networks, empowering relationship managers and driving measurable business outcomes.  

    Client

    Leading US Bank

    Geography

    United States

    Industry

    Banking & Financial Services

    Offering

    AI/ML-powered CRM, Graph Database Integration, Data Stewardship UI, CDI/DaaS Enablement

    Tags: AI and Analytics

    The Challenges

    • Limited visibility into P2P, B2B, and B2P linkages, especially among small business customers. 

    • Reliance on outdated, incomplete external data for relationship insights. 

    • Lack of actionable intelligence for cross-sell, up-sell, and personalized engagement. 

    • Disconnected systems and poor CRM integration hindered a unified customer view and effective risk management. 
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