Dulgeridis, MarcelSchubart, ConstantinBerndt, Felix2025-10-012025-10-012025-09-292750-0721https://doi.org/10.56250/4082https://repository.iu.org/handle/123456789/4135This paper examines how artificial intelligence (AI) can drive the automation of accounting and regula-tory reporting in banks. The objective is to provide practical guidance for the compliant and effective adoption of AI in a highly regulated environment, while assessing related opportunities and risks. Documented banking case studies are analysed to derive a technology-levels model and transferable best practices. In addition, a SWOT analysis identifies the key strengths, weaknesses, opportunities, and threats influencing AI integration. Combining both approaches, the study develops practical recommendations, highlighting that AI is particularly effective in standardised, data-driven processes such as regulatory reporting. At the same time, organisational readiness and regulatory compliance prove to be decisive success factors. Building on these insights, a ten-step roadmap is proposed as a hands-on guidance tool for banks. The findings contribute to the strategic evolution of regulatory reporting and illustrate how even highly regulated institutions can prepare for and benefit from AI-driven transformation.deArtificial IntelligenceAccounting and Regulatory ReportingBanksAutomationRegulationsPractical AdviceDiscussion Paperhttps://orcid.org/0009-0009-4248-3067