• Utilize open-source, air-gapped large language models (LLMs) for secure processing. • Train and fine-tune models using legacy application exports (Oracle Forms and Oracle Framework applications) to extract business rules, logic, and metadata. • Implement an iterative training process to improve model accuracy from an initial 50-60% to 80-90%. • Parse and clean legacy code (Oracle Forms, PL/SQL) to extract key business rules, triggers, procedures, and configurations. • Deliver outputs in standardized formats (PL/SQL scripts, JSON boilerplates) for use in Oracle APEX. • Rapidly generate APEX application boilerplates from extracted logic. • Provide downloadable scripts for database object creation, reducing manual recoding efforts. • Ensure all processing occurs within secure environments, with no proprietary data shared externally. • Enforce best practices in code structure, documentation, and naming conventions. • Review current best practices in APEX code structure, documentation, and naming conventions and update output to align to these standards where they are logical. • Extend the AI-driven approach to other legacy modules or applications as needed, supporting future automation opportunities.