This custom workflow automates the manual, reactive process of tracking regulatory change by ingesting unstructured signals from government portals, legal databases, and news feeds. It applies NLP to legislative drafts and enforcement actions to forecast high-probability mandates, scoring them for financial and operational impact. The architecture connects to systems like ServiceNow GRC or RSA Archer, transforming raw intelligence into a prioritized backlog of compliance actions, allowing strategy teams to simulate responses and allocate budget before mandates are finalized.




