This workflow automates the high-risk, manual analysis of VSAM/ISAM datasets to design optimal cloud-native data models. It eliminates months of manual schema mapping by using agents to parse copybooks, infer relationships from program access patterns, and generate target schemas in SQL or NoSQL. The operational upside comes from accelerating migration planning, preventing logic loss, and creating a validated, executable migration package that reduces cutover risk and post-migration data integrity issues.




