How Are Internal Auditors Putting AI to Work?
Charles King, partner, internal audit and enterprise risk, KPMG US, says about 60% of the companies he works with have artificial intelligence (AI) tools that they use every day, while others may not have any AI or are still experimenting.
AI can help internal audit functions do more with limited resources, notes Natalie Denman, CIA, audit supervisor at Flowserve Corp. in Houston.
Given that internal audit is a cost center, the productivity and efficiency gains can enable the function to minimize project time and add more value.
This Global Best Practices explores how internal audit functions are benefiting from AI and outlines the steps needed to maximize its value.
King cautions internal auditors against focusing too narrowly on use cases, however. He is often asked about the best use cases for internal audit, which he compares to asking a carpenter about the best uses for a hammer. “The first question you want to ask is, what do you want to build?” he says.
Internal audit leaders should first determine whether they are seeking faster audit completion, to lower costs, or to achieve another goal, such as minimizing the work done by control owners. The danger otherwise is that internal auditors will tweak certain areas without making more meaningful transformations.
“Higher-level transformations can include measurable goals, such as raising audit client satisfaction ratings by a full point, lowering the time from kickoff to report delivery by four weeks, or reducing the average cost per audit by 20%, King says. “Those are really powerful outcomes that you can talk to your CFO, your audit committee chair, and your other stakeholders about.”
August 14, 2025