Hidden business rules embedded in decades-old COBOL, RPG, or ABAP code represent significant operational and compliance risk during modernization. Manual extraction is slow, error-prone, and fails to scale across millions of lines. A custom automation workflow addresses this by deploying parsing agents to scan source code, JCL, configuration files, and comments. These agents use static analysis and LLM reasoning to identify conditional logic, calculation routines, and data validation patterns that govern core processes like financial reconciliation or patient eligibility. The output is not just a report but a structured, queryable knowledge graph of business rules, tagged by system, module, and regulatory relevance, which becomes the single source of truth for migration planning.




