Fintech

Company Background

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The client is a nationally recognized fintech company with over two decades of experience serving multi-chapter trade, professional, and fraternal associations. Their cloud-based platform helps clients manage finance, operations, and data visibility through integrated software and payment services. Core offerings include tools for banking, accounting, and financial processing, as well as proprietary database and banking platforms.

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Challenge

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The company’s legacy .NET business application—central to its customer experience—had evolved over more than a decade into an extremely complex system:

• 600+ classes
  
  
• 10,000 code files
  
  
• 2,000 database tables
  
  

This complexity created both technical and business barriers:

• Customers were blocked from completing critical actions like sign-up and payment due to long function calls and fragile architecture.
  
  
• Internal engineers spent significant time building caching strategies just to keep the system running.
  
  
• Traditional re-architecture methods projected a two-year timeline to move business logic into a service layer—far too long given the impact on customers and revenue.
  
  

Solution

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To accelerate transformation, the company partnered with Stride100x to bring GenAI-driven automation into the modernization process—while maintaining human oversight for safety and quality.

Key solution elements included:

• Visualizing the Chaos: A Stride-built tool automatically traced dependencies, mapped database schemas and stored procedures, and generated visual diagrams—giving engineers instant visibility into a system too large to parse manually.
  
  
• Implementation Recommendations: Custom AI workflows integrated system traces and visualizations to propose migration strategies. Human architects reviewed and refined outputs to ensure alignment with development standards.
  
  
• AI-Assisted Code Generation: GenAI suggested code changes and service-layer transformations based on system diagrams, dramatically reducing engineering effort.
  
  

This approach allowed Stride to shorten planning and analysis phases from months to hours, making modernization both faster and less risky.

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Business Outcomes

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With Stride’s help, the client turned a high-risk modernization project into a measurable success:

• Faster Planning and Analysis: Reduced the cycle time for planning and analysis activities from 4–6 weeks to just 4–6 hours.
  
  
• Lower Overhead: Reduced implementation effort by 20–50%, saving up to $150,000 immediately and positioning for up to $1.15M in downstream savings.
  
  
• Smarter Decisions: Provided engineering teams with system-wide visibility to prioritize confidently and act quickly.
  
  
• De-Risked Modernization: Delivered a clear, actionable path for migrating business logic into a service layer—shortening a two-year roadmap into a far more manageable horizon.
  
  
• AI-Ready Foundation: Beyond modernization, the platform is now positioned to integrate agentic AI workflows (e.g., fraud detection, compliance monitoring, semantic search)—capabilities impossible to achieve on the legacy .NET monolith.
  
  

“We believe this output would benefit developers by reducing investigation time and help towards refactoring of logic into a service layer.”
— Architect, Fintech Client

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