AI-Assisted Legacy System Modernization Delivers Reporting Stability, Speed, and Scalability

About the Client

A leading company empowering entrepreneurial growth with AI-powered, industry-specific ERP solutions. They have supported over 25,000 small and midsize businesses across diverse industries in accelerating everyday operations and staying ahead of the curve.

  • Industry: Technology
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The Challenge

The client relied on a reporting system built on Crystal Reports, HTML, and Visual Basic Script (VBScript). With the scripting language deprecated and operating system support declining, the system created growing risks around reliability, maintenance, and long-term compatibility. At the same time, the need to preserve 141 existing reports while transitioning to a modern, sustainable architecture made the transformation particularly complex.

 

Our Solution

Leveraging an AI-assisted, structured modernization approach, we transformed the desktop-based system to a centralized, web-based solution while reducing risk and preserving critical reporting assets.

The Solution

Assessment and Planning

An assessment and planning phase was conducted to define a clear modernization roadmap that maintained report compatibility while minimizing disruption.

The Solution

Architecture Transformation

Deprecated dependencies were replaced with secure, scalable components within a layered Model-View-Controller (MVC) architectural design pattern.

The Solution

Report Preservation

Report design and generation instructions were preserved to ensure the modernized system produced results that aligned with the existing report format.

The Solution

AI-Assisted Code Modification

The AI assistant feature in GitHub Copilot was used to accelerate code understanding and refactoring. Final outputs were reviewed under expert supervision.

The Solution

Quality and Validation

Parallel checks and structured reviews were performed to ensure data consistency and functional accuracy before rollout.

Technologies Used

An advanced stack of AI-assisted tools and agile technologies enabled secure, scalable system transformation.

  • ASP.NET MVC
    ASP.NET MVC
  • C#
    C#
  • Crystal Reports
    Crystal Reports
  • CSS
    CSS
  • GitHub Copilot
    GitHub Copilot
  • JavaScript
    JavaScript
  • jQuery
    jQuery
  • Microsoft SQL
    Microsoft SQL
  • Microsoft SQL Management Studio
    Microsoft SQL Management Studio
  • Visual Studio 2019
    Visual Studio 2019
  • Visual Studio Code
    Visual Studio Code
 

Business Impact

The AI-assisted approach not only delivered several benefits during the transformation process but also drove measurable improvements across performance, reporting, and stability.

BENEFIT 1

20–30% Reduction in Project Timeline

BENEFIT 2

15–20% Faster Architectural Query Resolution

BENEFIT 3

40% Reduced Developer Ramp-Up Time

BENEFIT 4

30–40% Swifter Code Review Validation

BENEFIT 5

30–40% Quicker Bug Resolution

BENEFIT 6

15–25% Increase in Team Velocity

BENEFIT 7

10–20% Lower Reverse-Engineering Effort

BENEFIT 8

30–40% Fewer Feature Gap-Related Bugs

What Operational Gains Were Achieved

  • business impacts

    Minimized Deployment Complexity and Desktop Dependencies

    By converting the traditional system into a centralized, web-based solution.

  • business impacts

    Maximized System Scalability, Reliability, and Performance

    With a maintainable, layered MVC architecture.

  • business impacts

    Maintained Reporting Stability

    Through preserving the existing design and generation instructions.

we-did-it

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