Insights
Measuring AI Value in Internal Audit: Beyond Time Saved
A practical framework for measuring whether AI improves efficiency, coverage, quality, and insight without adding hidden review effort or risk.
AI Use Cases in Internal Audit
More than 80 AI use cases for audit planning, fieldwork, reporting, follow-up, quality, operations, and governance.
Auditing AI Without Becoming a Data Scientist
What generalist internal auditors can assess in AI today, and how to recognize when an audit conclusion requires technical specialists.
Why AI Belongs in the Internal Audit Universe
AI should enter risk assessment and audit planning even when it does not yet justify a standalone audit. The first requirement is visibility.
Shadow AI: The Risk You Cannot See
Shadow AI is not just unauthorized tools. It is the gap between the AI an organization knows about and the AI its people actually use.
Deepfake Fraud: What Internal Auditors Should Test
Deepfakes change impersonation, not the fundamentals of control. Here are the tests Internal Audit should add to critical business processes.