In regulated industries, the question is not “can the model answer?” It is “can we let it act?” Governance is what turns an impressive demo into a production system.
Four things have to be provable: that an agent only sees and acts within the permissions of the requesting person; that every answer can cite its source; that critical actions wait for human approval; and that every step leaves an audit trail.
Independent frameworks like the NIST AI Risk Management Framework and the OECD AI Principles frame trustworthy AI around exactly these properties — risk management, transparency, accountability and security. For enterprises, that is not a constraint on AI value. It is the precondition for it.