Discover how Artificial Intelligence (AI) is revolutionizing internal audit practices in the industrial sector. Learn about the benefits of AI in improving internal control tests, including enhanced precision and error reduction. Explore the technical and organizational challenges associated with AI adoption, such as economic impact, ethical risks, and the need for auditor training. This comprehensive resource provides insights into successful AI integration, process transformation, and risk management. Unlock the potential of AI in internal audit and stay ahead in an increasingly complex industrial landscape.
Extract
[...] - The need to modernize approaches in the face of increasing complexity in industrial environments. Chapter Contribution of AI to Internal Control Testing - Illustration of the benefits related to precision and error reduction through AI. - Concrete examples of companies that have successfully integrated AI into their audits. - The economic and qualitative impact of AI in internal audit. Chapter Technical and Organizational Challenges Related to the Adoption of AI - The technical constraints associated with the adoption of AI. [...]
[...] Theoretical Part 2.1. Literature Review : Chapter Artificial Intelligence and its Role within Industrial Enterprises - Definition of AI and its general implications in enterprises. - The transformation of industrial processes by AI including risk management. - Description of the efficiency and precision gains offered by AI in industrial processes. Chapter Internal Control Tests in the Industrial Sector - Contextualisation of the role of internal control (emphasizing current practices in industry). - The challenges identified concerning the traditional approach of auditors. [...]
