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Abstract
In the rapidly evolving financial services landscape, investment banking middle office functions are increasingly recognized as critical enablers of operational efficiency, regulatory compliance, and risk mitigation. This paper explores how artificial intelligence (AI) is reshaping data management and automation in the middle office of investment banks, with a particular focus on 2023 developments. Traditional data workflows, often fragmented and heavily manual, are now being replaced or augmented by AI-driven technologies such as natural language processing (NLP), robotic process automation (RPA), and machine learning (ML). The study synthesizes existing literature on middle office automation up to 2023, outlines contemporary advancements, and identifies both the strategic advantages and implementation challenges that arise from AI integration
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