Staged Actions and Provable Human Oversight in Agentic Enterprise AI

Abstract

Abstract. As enterprise AI moves from answering questions to taking actions, the question of human oversight sharpens. Regulation for higher-risk uses requires that systems be overseen by people who can understand, intervene in and if necessary halt them. In deployed practice this duty is often satisfied by assertion: a policy states that a human is in the loop, and the organisation is asked to trust that the loop was honoured. This paper argues that for regulated use an agent's privileged actions should be staged for human clearance, and, more particularly, that each clearance decision should itself be recorded, so that oversight leaves a trace rather than remaining an operational claim. We describe a stage, clear and seal-before-execution flow in which an agent that proposes a privileged action does not perform it directly: the action is placed in a staging state, presented to an authorised person for a decision, and executed only after that decision has been sealed into a tamper-evident record. Crucially the record captures the decision, who made it, when, and what was shown, not merely the action that followed. We relate this to the human-oversight duties of the EU AI Act and explain how sealing the decision rather than only the action turns oversight from an assurance into evidence. We are candid about the limits: a record shows that a decision was made and shown, not that it was sound, and staging does not by itself defeat inattentive approval.