Royal Cyber uses GenAI with AWS to cut COBOL-to-Java modernization timelines in half and slash manual effort by 90%.
Royal Cyber has launched a GenAI powered solution with AWS Transform to modernize COBOL applications into Java in months, not years. By merging AWS’s agentic AI with its SCM Migration Tool, the company addresses the long-standing challenges of mainframe modernization. Like high costs, scarce talent, and the need for cloud-ready systems.
Millions of mission-critical COBOL lines remain in production, yet traditional migration approaches are slow, risky, and labor-intensive. Royal Cyber’s solution automates critical steps including code extraction, analysis, documentation, decomposition, refactoring, and deployment. It converts COBOL CICS programs into modular Java and Angular components while preserving business logic and ensuring functional equivalence.
A key breakthrough is AI-driven business logic identification, which drastically reduces the time required to extract domain knowledge. The agentic AI refactors mainframe applications into cloud-ready architectures, improving maintainability and scalability. Automated extraction supports multiple target SCMs such as GitHub, GitLab, Bitbucket, and Azure DevOps, as well as AWS S3 for modernization readiness. This streamlined process reduces project timelines by up to 50% and cuts manual intervention by 90%.
By combining automation with deep code intelligence, Royal Cyber minimizes modernization risks while ensuring compliance and performance. Enterprises benefit from reduced licensing costs, faster deployment of Java-based applications, and an easier path to cloud adoption. “From automated extraction to intelligent decomposition, we enable a seamless transition to Java that cuts costs and delivers cloud-ready applications,” said Ganeswar Sethi, Mainframe Practice Lead at Royal Cyber.
