Manual compliance mapping is a costly, error-prone bottleneck in legacy modernization. Analysts spend months tracing business rules for financial reporting, data privacy, or safety controls through spaghetti code, risking dilution or omission in the new system. An automated workflow directly addresses this by using AI agents to parse, tag, and extract regulatory logic, creating a structured, versioned artifact that becomes the single source of truth for downstream translation and certification, reducing both project risk and audit preparation overhead.




