The Impact of AI on Financial Auditing at Financial Firms

Adegunju Adetomiwa Timilehin (2025) The Impact of AI on Financial Auditing at Financial Firms. Menedzsment Kar (2025-)-.

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Absztrakt (kivonat)

This study investigates the growing influence of artificial intelligence (AI) on financial auditing within financial firms, using insights collected from a survey of 30 auditing and finance professionals. As AI-enabled systems become increasingly embedded in organizational processes, understanding how practitioners perceive these technologies—and how they are being integrated into audit workflows—has become essential. The results of this study offer a detailed snapshot of current awareness levels, adoption patterns, perceived benefits, and persistent challenges surrounding AI in auditing.Survey findings indicate that AI awareness among professionals is exceptionally high, reflected in a strong mean score of 4.53. This suggests that the majority of respondents are not only familiar with AI concepts but are also closely following its developments in the auditing field. Many participants noted that AI is no longer viewed as an emerging trend but as a transformative tool that is quickly becoming integral to modern audit processes. This high level of awareness appears to shape positive attitudes toward experimentation and adoption.Correspondingly, the adoption of AI within auditing practices also scored favorably, with a mean of 4.07. While not as high as awareness, this value shows that AI tools—such as automated data analysis systems, anomaly detection algorithms, and intelligent risk-scoring models—are already in use by many firms. Respondents attributed this adoption to increasing data volumes, complex regulatory environments, and the need for more efficient audit procedures. Although adoption varies across organizations, the overall trend shows a shift toward integrating AI in both routine and advanced auditing tasks.The perceived benefits of AI are particularly noteworthy. Efficiency was highlighted as one of the strongest advantages, with a mean rating of 4.40. Professionals reported that AI significantly reduces the time and labor needed to perform data-intensive audit procedures. Tasks that once required hours of manual work, such as sampling, transaction testing, and pattern identification, can now be completed rapidly with the help of machine learning algorithms. This frees auditors to focus on higher-level activities, such as interpreting results, assessing risks, and making strategic judgments.Audit quality also demonstrated substantial improvement, receiving a mean rating of 4.37. Respondents emphasized that AI enhances the accuracy and reliability of audit outcomes by minimizing human error and enabling more thorough data analysis. AI systems can detect irregularities that might be overlooked in manual reviews, thus strengthening fraud detection and improving the overall robustness of auditing procedures. Many professionals believe that AI has elevated the standard of audit work by enabling deeper insights into financial data and supporting more informed decision-making.Despite these clear benefits, the study also identifies several challenges that continue to shape the implementation of AI in auditing. Cost remains a primary concern; the acquisition, integration, and continual updating of AI systems require substantial financial investment. Smaller firms, in particular, struggle with the budgetary demands associated with advanced AI tools. Skills gaps also emerged as a notable challenge. Participants expressed that many auditors lack sufficient training to fully utilize AI technologies, highlighting the need for continuous upskilling and targeted educational programs.However, these challenges, while significant, are largely viewed as manageable. Many professionals believe that as AI tools become more accessible, costs will gradually decrease. Furthermore, firms are increasingly investing in training initiatives to close skills gaps and ensure that auditors can effectively collaborate with AI systems. The overall sentiment among respondents suggests optimism: while obstacles exist, they are not insurmountable and are steadily being addressed by organizations committed to technological advancement.In summary, the study demonstrates that AI is having a profound and positive impact on financial auditing. High awareness, growing adoption, and strong perceived benefits in efficiency and quality indicate that AI is reshaping the audit landscape. Although challenges remain, they are manageable, and the trajectory of AI integration points toward continued innovation and improvement in auditing practices.

Intézmény

Budapesti Gazdasági Egyetem

Kar

Menedzsment Kar (2025-)-

Tudományterület/tudományág

NEM RÉSZLETEZETT

Szak

Gazdálkodási és menedzsment

Mű típusa:	diplomadolgozat (NEM RÉSZLETEZETT)
Kulcsszavak:	accounting, audit, auditing, finance, financial reporting
SWORD Depositor:	User Archive
Felhasználói azonosító szám (ID):	User Archive
Rekord készítés dátuma:	2026. Ápr. 09. 15:05
Utolsó módosítás:	2026. Ápr. 09. 15:05

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