Revolutionizing Legacy Modernization with GenAI-Powered Transformation

Overcoming Legacy Challenges with Strategic Modernization

Our client, a leading American mass media and telecommunications company, faced significant challenges stemming from their outdated legacy PERL systems. These systems had performance limitations, rising technical debts, and scalability issues. In order to manage large-scale, data-driven workflows, our client needed to transition to a scalable, maintainable solution that could stay current with modern technology and standards. The primary challenge was achieving a seamless transition to Java while preserving complex workflows and integrations, all within stringent security requirements.
Ascendion’s approach began with an in-depth, AI-assisted analysis of the PERL codebase to document core functionalities. We engineered AI agent-based workflows to map out an efficient transformation plan and used AI-driven strategies for a smooth, intelligent conversion.
Utilized agent workflows to manage technical analysis, user story generation, code transformation, unit testing, and documentation.
Used GenAI models with customized prompts to confirm function definitions met project standards.
Created user stories and Gherkin-format test scenarios to speed up early project phases.
Efficiently converted the PERL code to Java Spring Boot.
Created extensive JUnit test

Trusted by Clients. Respected by Partners.

Clients cite strong leadership, responsiveness, and reliable delivery. Partners point to engineering depth, SME coverage, and a steady focus on outcomes over activity.

Business Impact

60% reduction in manual conversion time

40% improvement in testing efficiency

Code Refactoring: Reduced from 89 hours to 23 hours

30% faster deployment, enhancing time-to-market capabilities

Delivered detailed AI-generated artifacts and developed a scalable conversion framework

Operational Efficiency Gains Driven by AAVA

The modernization effort with AAVA delivered remarkable efficiency gains, drastically reducing time compared to traditional methods:

Initial Analysis:

Reduced from 8 hours to 3 hours

Code Transformation:

Decreased from 144 hours to 20 hours

User Story Creation:

Cut from 154 hours to 8 hours

Unit Test Case Generation

Reduced from 247 hours to 11 hours

Code Documentation:

Decreased from 8 hours to 3 hours

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