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Success Stories

Code intelligence for core banking, natural-language UAT for Oracle CX, AI-driven SRE and an agentic supply chain command center — delivered for clients in FinTech, Retail & FMCG and hi-tech manufacturing.

All case studies

Every story follows the same arc — challenges, solution, AI impact and business impact. Client names are withheld for confidentiality.

  • Massive circular steel vault door with radial locking bolts and an exposed lock mechanism
    Built onCortexIQ
    up to

    70%

    less manual impact-analysis effort

    FinTech ISV

    AI-Powered Code Intelligence for Core Banking Modernization

    A FinTech ISV used AI-powered code intelligence to map multi-level dependencies across its legacy PL/I core banking platform and support its modernization.

    • >10M lines of PL/I code analyzed
  • Pick-and-place machine head above black circuit boards on an electronics assembly line
    Built onQAI

    70%

    reduction in test design effort

    Global hi-tech manufacturer

    QAI for Oracle CX Sales & CPQ

    A global hi-tech manufacturer used the QAI Platform to transform User Acceptance Testing (UAT) across Oracle CX Sales & CPQ through natural-language-driven test automation.

    • 50% faster UAT execution cycles
    • 3x increase in automated test coverage
  • Looking up at tall pallet racking stacked with boxed goods in a dim distribution center
    Built onInsightMesh

    Reduced logistics costs through intelligent consolidation.

    Retail & FMCG enterprise

    Agentic AI-Powered Supply Chain Command Center

    A Retail & FMCG enterprise moved from fragmented logistics data and manual planning to an agentic AI-powered supply chain command center.

  • Bundles of blue network cables plugged into switch ports with glowing status LEDs in the dark

    Reduced engineering effort through automation and AI-assisted analysis.

    FinTech ISV

    AI-Powered Reliability, DevOps and Quality Engineering

    A FinTech ISV transformed manual site reliability engineering (SRE), Production Reliability Engineering (PRE) and quality engineering (QE) processes with AI-driven incident analysis, intelligent observability and automated testing.

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