A practical, visual overview of how AI agents support modern audit—without compromising control.

Audit leaders are under pressure to increase coverage, respond to new risks, and evaluate AI responsibly. But most discussions around AI in audit are either too abstract or too technical.
This infographic offers a clear, executive-ready view of how Agentic AI is being applied in audit today, with a focus on assurance, governance, and practical outcomes.
See how audit teams are using AI agents to:
— Increase audit assurance while reducing manual effort and rework
— Move beyond sample-based testing toward broader, data-driven coverage without losing transparency.
— Maintain governance and explainability
— Ensure AI-driven analysis remains traceable, reviewable, and regulator-ready.
— Support emerging audit use cases from policy interpretation and anomaly detection to continuous monitoring and AI oversight.