Adopting artificial intelligence in accounting: prerequisites and applications
Adopting artificial intelligence in accounting: prerequisites and applications
David Roos,Dennis Schlegel,Patrick Kraus
TLDR
The findings indicate that the successful implementation of AI in accounting depends on several prerequisites, including a suitable IT infrastructure, access to high-quality data, regulatory compliance and workforce upskilling.
Abstract
The rapid development of artificial intelligence (AI) is transforming various fields, including accounting. AI-driven solutions have the potential to enhance efficiency and accuracy. This study examines the integration of AI in accounting by addressing two key research questions: (1) What are the prerequisites for incorporating AI solutions in accounting? and (2) Which accounting processes are suitable for AI adoption?
To answer the research questions, a multivocal literature review (MLR) was conducted, systematically analysing both academic and practice-oriented sources.
The findings indicate that the successful implementation of AI in accounting depends on several prerequisites, including a suitable IT infrastructure, access to high-quality data, regulatory compliance and workforce upskilling. Furthermore, key accounting processes benefiting from AI integration include invoice processing, anomaly detection, financial forecasting and tax compliance.
This study contributes to the existing body of knowledge by providing a comprehensive and up-to-date analysis of AI in accounting, bridging the gap between research and practice.