Summary
This document is a solution sheet detailing EXL Code Harbor, a GenAI-enabled solution designed to modernize code bases and facilitate the migration of legacy code to modern, open-source languages. It outlines the challenges organizations face when implementing Generative AI, such as security concerns, intellectual property considerations, and the potential for inaccuracies in AI-generated code. The document describes the methodology employed by Code Harbor, which includes diagnosis of the codebase, data lineage analysis, migration processes, debugging, synthetic data generation, testing, efficiency improvements, and comprehensive documentation. Furthermore, it presents case studies demonstrating the effectiveness of Code Harbor in real-world applications, including a project with a UK bank that achieved significant reductions in migration time and enhanced accuracy in regulatory reporting. The solution aims to streamline code migration while ensuring quality and compliance.
