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FinTech FinTech ISV

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.

  • Legacy Modernization
  • Code Reverse Engineering
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Results

FinTech ISV
lines of PL/I code analyzed
>10M
less manual impact-analysis effort
up to 70%

The story

  1. 01 / 04

    Challenges

    • Legacy PL/I-based core banking systems (>10M lines of code) lacked visibility into multi-level dependencies.
    • Complex codebase with dead code and performance bottlenecks.

  2. 02 / 04

    Solution

    • Built an AI-powered Code Intelligence Platform with multi-level dependency mapping.
    • Supports 8 complex AI-driven features to aid modernization.

  3. 03 / 04

    AI Impact

    • Transformed static legacy code into a searchable semantic knowledge graph.
    • Provides a forensic view into code, easing the operational cost of maintenance.

  4. 04 / 04

    Business Impact

    • Reduced manual impact-analysis effort by up to 70%.
    • Lowered regression defects and production risk.

Built with

Platform

CortexIQ

AI-Powered Code Intelligence

Maps dependencies across PL/I and VB6 code, classifies the impact of every change and explains it in plain English — to speed up modernization and change management.

Technologies
  • PL/I
  • Semantic knowledge graph
Industry
Banking & Credit Unions

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Next step

See how multi-level dependency mapping and change-impact analysis with CortexIQ would work on your PL/I or VB6 code.

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