The legacy code challenge

64% of all organizations are still running on legacy systems that have been incrementally adapted over many years, leading to complex ‘spaghetti’ code structures. All these organizations state that legacy code modernization is a critical priority.

However, many companies are hesitant to undertake migrations, mainly due to concerns about:

• High costs and budget constraints
• Risk of project failure, due to technical complexity
• Data privacy concerns
• Skill and resource constraints

K.Convert: combining AI with human expertise

Our K.Convert AI powered accelerator aims to empower enterprises not only to migrate their applications efficiently, but also to automate, standardize, and enhance the software code migration process. By combining AI-driven mechanisms with human oversight, K.Convert strikes an optimal balance between automation and expert review.

What sets K.Convert apart?

• K.Convert uses advanced Artificial Intelligence to assist human experts to:
• Automatically create full technical and functional source and target code documentation, ensuring a thorough understanding of the source and target code bases
• Automatically create Functional unit test, to gain time during the testing process.
• Automatically convert the source code into the target code by using Multi-AI agents and Multi-AI models, significantly reducing the risks associated with relying on a single AI model.
• Automatically migrate any structured source code language to any structured target code language (i.e. SAS to Python/Pyspark, Cobol to Java, Angular to React, …)
• Learn and self-improve based on a re-usable code directory (RAG model)
• Automatically perform code quality and consistency checks, while keeping the Human-in-the-Loop, ensuring the highest level of code conversion accuracy, quality and reliability.