How did we use AI to modernize mission critical apps in weeks for banks & retailers?

AppMod.AI

Executive Summary

Did you know that nearly 70% of the world’s transactional systems still rely on outdated technologies like CBasic and COBOL? As domain experts retire and tech debt piles up, banks and retailers are increasingly vulnerable to outages and security risks. One of our clients, a leading building materials supplier, was facing exactly this challenge. Using AppMod.AI, our proprietary AI-powered modernization tool, Techolution transformed their legacy CBasic systems into fully functional Python code – in just days, not months. This is the power of app modernization with AI done right.

AppMod.AI

Challenge

The client was running core operations on a CBasic codebase developed decades ago. Manual maintenance was risky and inefficient, especially with retiring experts and undocumented code structures. Delays in feature development, inability to integrate with modern APIs, and rising infrastructure costs were all symptoms of legacy lock-in. For the retail and banking sectors, such fragility poses not just technical hurdles but business continuity risks.

Solution

To address this, Techolution deployed AppMod.AI, an advanced solution purpose-built for legacy code transformation. Here's how the system worked :

Automated code conversion : Translated legacy CBasic to clean, production-ready Python code
Documentation generation : Created comprehensive documentation to reduce onboarding time and ensure long-term maintainability
Unit test creation : Embedded automated unit tests into the converted code for validation and performance monitoring
AI Model Refinement : Leveraged RLEF.AI to improve code accuracy using expert feedback loops
Cloud deployment : Used Google Cloud Platform and Vertex AI to run the entire pipeline at scale

This approach is a clear example of how AI modernizes legacy banking applications and other mission-critical enterprise systems with precision and speed.