Different Experiences of Internal and External Auditors in the AI Adoption Process

Following massive investments in artificial intelligence by auditing firms, interviews with eight audit professionals revealed differences in the intentions of internal and external auditors to adopt AI.

AI Investments in Auditing

Auditing firms have made massive multi-billion-dollar investments in artificial intelligence in recent years.

For example, KPMG uses IBM Watson systems to analyze commercial mortgage loan portfolios.

Deloitte, on the other hand, utilizes Kira Systems solutions for contract and invoice reviews.

Research Methodology and Interviews

As part of the study, interviews were conducted with a total of eight audit professionals from various institutions and organizations.

Three of the interviewees are internal auditors, while five are external auditors at various levels.

Knowledge Levels and Usage Differences

Participants' levels of knowledge about artificial intelligence range from basic awareness to deep understanding.

It was observed that internal auditors use AI more comprehensively, while external auditors adopt different approaches depending on the size of their firms.

Audit Risks and Impact on Processes

Artificial intelligence affects the assignment of human auditors, enabling processes to be completed more rapidly.

Despite the risk of software bugs, it is stated that AI generally makes fewer errors than humans.

Future Expectations and Challenges

Experts state that artificial intelligence can enhance quality and reduce costs.

At the same time, various challenges such as data verification and regulatory environment constraints were also voiced.