Two-thirds (66 percent) of companies say that their expectations of AI-based solutions in accounting have been met. In contrast, 17 percent report that their expectations have not yet been met. Compared to the previous year, the assessment is thus more sober – a sign of increasing practical experience and more realistic expectations of current technological capabilities.
At the same time, the study shows that progress is not without its hurdles. Data protection and data security are considered the biggest challenges by 65 percent, followed by the traceability and transparency of AI algorithms (59 percent). The lack of standardization (46 percent) and the legal classification of AI systems (40 percent) are also considered significant obstacles.
"Many companies are faced with the challenge of reconciling technological innovation and regulatory requirements," says Axel Bachmann, Partner for Regulatory Advisory and Head of Digital Process Compliance at KPMG. "A clear framework for data protection and AI governance is essential, especially when dealing with sensitive financial and personal data."