How does human oversight work in AI-assisted audit?
Human oversight means auditors define the work, review the evidence and conclusions, resolve exceptions and approve the final output. The AI performs delegated tasks inside those boundaries.
Good oversight starts before the result appears. The firm decides which use cases are permitted, configures the methodology, defines required evidence and sets escalation rules. During the engagement, the preparer reviews the output and the normal audit review hierarchy continues to apply. Significant judgements receive the level of attention they would receive if the work had been prepared manually.
Oversight should be visible. The system should record who reviewed the work, what changed, which conclusion was overridden and why. It should also make it easy to inspect the source evidence rather than presenting an AI answer as a finished fact.
The objective is not to keep a human click in every mechanical step. It is to ensure that automation never obscures professional responsibility. As the workflow proves reliable, review can become more risk- and exception-focused, but accountability does not move to the tool.
Platformed capability: Platformed automates the evidence-heavy preparation while preserving named auditor review and approval. It supports exception-focused review without treating a click as a substitute for challenge.
References: FRC accountability for AI-assisted audit · Platformed customer assurance