What is an AI auditor?
An AI auditor is software that can complete defined audit tasks using client evidence, an audit methodology and a structured review workflow. It is not a statutory auditor, it does not sign an opinion and it does not hold professional responsibility for the engagement.
The term is useful when it describes a system that does real audit work rather than simply answering questions. An AI auditor might collect and interpret evidence, assess the complexity of an IT environment, identify risks, evaluate controls, link conclusions to source material and prepare a working paper. An auditor then reviews the work, investigates exceptions and approves or changes the conclusion.
This is closer to adding execution capacity to an audit team than giving the team a writing assistant. But the boundary matters. The engagement partner and audit team remain responsible for the procedures performed, the evidence obtained and the conclusions reached.
At Platformed, we use “AI auditor” to describe software that automates the legwork around audit workflows while preserving a visible evidence chain and human approval. It is a practical shorthand, not a claim that software can replace the role or accountability of a qualified auditor.
References: FRC guidance on generative and agentic AI · Platformed AI auditor