Compliant AI for Regulatory Affairs (CAIRA) is the internal workflow layer behind that work. It intakes quality signals, structures evidence, prepares review-ready artifacts, and preserves a strict draft-versus-publish boundary.
Prosidio uses Compliant AI for Regulatory Affairs (CAIRA) to keep intake, evidence handling, procedure-aware drafting, review, and publication controls inside a single quality workflow instead of scattering that work across disconnected tools.
CAIRA supports regulated work because it preserves the boundary that matters most: draft outputs can be staged, but official record publication still requires recorded human approval.
Drafts can be prepared in controlled staging areas with the case context attached.
Working artifacts are versioned and inspectable rather than silently overwritten.
Official publication remains a human-approved event tied to the right procedure and sign-off path.
Signed outputs, not unsigned drafts, are the intended record state.
CAIRA is useful because it reduces friction without weakening review discipline. Intake, evidence, draft preparation, and publication state remain legible as one governed sequence.
A complaint or mailbox-driven quality signal enters the workflow and is preserved as case evidence.
OCR and structured packet handling bring attachments and supporting records into one usable case file.
CAIRA prepares review-ready QMS artifacts tied to the correct workflow path and procedure.
Official publication remains behind explicit human review, signing, and release gates.