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AI-Driven Automation: Revolutionizing Financial Operations and Efficiency

In: AI in Finance Shaping the Future of Intelligent Automation and Financial Services

Author

Listed:
  • Brijlal Mallik
  • Shivangi Kashyap
  • Robert Ślepaczuk
  • Manish Kumar
  • Dev Kumar Mandal

Abstract

The integration of artificial intelligence (AI) in financial management is revolutionizing financial operations by enhancing efficiency, accuracy, and decision-making capabilities. AI-driven automation plays a critical role in risk management, fraud detection, investment strategies, and customer service, significantly transforming the financial landscape. Through advanced technologies such as machine learning, natural language processing, and robotic process automation, AI enables financial institutions to process vast datasets rapidly, recognize patterns, and generate valuable insights for strategic decision-making. This chapter explores the historical evolution of automation in financial services, from ATMs and online banking to high-frequency trading and AI-powered analytics. The literature review highlights AI’s profound impact on operational efficiency and competitiveness while also addressing concerns regarding transparency and the “black box” model of AI-driven systems. The potential applications of AI in finance continue to expand, with automation already being widely implemented in areas such as payments, expense management, and financial analytics. By leveraging AI technologies, financial institutions can optimize resource utilization, enhance client services, and maintain a competitive edge in an evolving digital landscape.

Suggested Citation

  • Brijlal Mallik & Shivangi Kashyap & Robert Ślepaczuk & Manish Kumar & Dev Kumar Mandal, 2026. "AI-Driven Automation: Revolutionizing Financial Operations and Efficiency," World Scientific Book Chapters, in: Krishan Arora & Himanshu Sharma (ed.), AI in Finance Shaping the Future of Intelligent Automation and Financial Services, chapter 1, pages 1-26, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9781800618428_0001
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    JEL classification:

    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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