Audit firms are entering a pivotal new era where agentic AI acts as a coordinated network of intelligent, specialized agents working alongside auditors. This emerging model, known as the agentic audit, promises a future where data moves seamlessly, risks surface earlier, administrative tasks shrink, and human judgment becomes even more central.
Expert‑in‑the‑loop control keeps judgment at the center
As firms explore AI‑enabled workflows, the most common question surfaces immediately: Who stays in control? Agentic audits are assistive, not autonomous
Approval gates, exception logs, and evidence links ensure that every agentic step is transparent, traceable, and explicitly reviewed by a human auditor. These design principles maintain compliance with standards and safeguard auditor judgment even as AI takes on more of the manual work.
Key takeaway: Agentic audits elevate efficiency while strengthening, not weakening, the control auditors have over the engagement.
Read more: How agent-assisted steps stay under auditor control