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. These offerings include tools for banking, accounting, and financial processing, as well as proprietary database and banking platforms.

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The Challenge

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The company’s core business application—central to its customer experience—had grown into an extremely complex system over more than a decade. The codebase spanned more than 600 classes, 10,000 individual code files, and 2,000 database tables.

This level of complexity was more than a technical burden—it was a barrier to the business. Customers were regularly prevented from completing critical actions like sign-up and payment due to long function calls and architectural fragility. The internal tech team spent much of their time implementing caching strategies just to keep the platform operational.

Recognizing the need for long-term sustainability, the team began planning to move core business logic into a service layer. But with traditional methods, the projected timeline for this transformation was two years—far too long given the business impact.

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The Solution

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To accelerate the transformation, the company partnered with Stride100x to bring GenAI into the modernization process.

Stride custom-built AI workflows and automation solutions tailored to the client’s architecture, development standards, and security constraints. Human architects remained strategically involved to ensure high-quality outputs and responsible use of automation. The result was a GenAI-powered process that significantly shortened the planning and early re-architecture phases—without compromising safety or oversight.

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Key components of the solution included:

• Chaos Visualization: A Stride-built tool automatically traced dependencies, mapped database schemas and stored procedures, and generated visual system diagrams. This enabled engineers to quickly understand the landscape and prioritize refactoring efforts.
  
  
• Implementation Recommendation: Custom AI workflows integrated system traces and visualizations to propose migration strategies, which human architects could review and refine.
  
  
• Code Generation: AI-generated prompts, informed by automated diagrams, suggested code changes and transformations—dramatically reducing the time required for engineering teams to plan and execute modernization tasks.
  
  

The Business Outcomes

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With Stride100x, the client made a measurable leap forward in modernizing their core system—achieving results in hours that would traditionally take weeks.

Key outcomes included:

• Faster planning: Reduced the timeline for key planning processes from 4–6 weeks to just 4–6 hours.
  
  
• Lower implementation overhead: Reduced effort by 20–50%, resulting in up to $150,000 in immediate savings and potential downstream savings of up to $1.15 million.
  
  
• Stronger decision-making: Equipped the engineering team with system-wide visibility to support confident, informed action.
  
  
• De-risked modernization: Provided a clear, actionable path for moving business logic into a service layer—faster and with less risk than originally estimated.
  
  

“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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With Stride’s help, the organization turned a high-risk, long-term project into a faster, more manageable transformation—one that keeps developers focused on value, not just maintenance.

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