How can a company make its CMC knowledge more structured, reusable, and AI-ready?

AI readiness begins with information governance, not document generation. CMC knowledge should be managed as controlled, traceable data objects with defined terminology, metadata, version control, source references, and accountable subject-matter ownership. This allows the same approved knowledge to support submissions, change management, lifecycle activities, and future analytics without repeatedly rebuilding it from disconnected Word files, PDFs, and spreadsheets. Structured approaches associated with KASA, PQ-CMC, ICH M4Q(R2), ICH Q12, and related initiatives signal a transition toward governed, reusable regulatory knowledge.