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Agentic Artificial Intelligence in financial and banking operations: A comprehensive review

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  • Laith Haleem Al-Hchemi

Abstract

The purpose of the study was to review of academic and industry literature, with the goal of clarifying the concept of agentic Artificial Intelligence, explaining its architectural workings, and exploring its applications in the financial and banking sectors. The rising use of Artificial Intelligence in the financial services sector had been pushing into a stage of financial automation that was not focused on rules but on systems able to reason, adapt, and act autonomously and goal-focused. This transition had led to what was currently referred to as agentic Artificial Intelligence – a category of intelligent systems that worked independently to a certain extent, which was missing in conventional Artificial Intelligence applications. The research was based on the systematic review methodology, which summarised the evidence related to the use of agentic Artificial Intelligence in autonomous trading, dynamic risk assessment, algorithmic underwriting, fraud detection, customised customer interaction, and regulatory compliance. As the analysis showed, it increased operational proactivity, situational awareness, and multi-step decision-making, allowing financial institutions to be more responsive to complex and fast-changing environments. In addition, the review outlined that there were persistent issues in regard to explainability, accountability, integration with legacy infrastructures, ethical protection, and preparedness to regulatory issues. Results suggested that agentic Artificial Intelligence had the potential ability to transform operational and strategic activities in the financial sector, but only by means of responsible governance and strict supervision, its advantages can become actual. The contribution of this review to the literature was an evidence-based integrated evaluation of the modern trends and an outline of the most prominent opportunities and limitations that will define the future of autonomous intelligent systems in the financial services

Suggested Citation

  • Laith Haleem Al-Hchemi, 2026. "Agentic Artificial Intelligence in financial and banking operations: A comprehensive review," E-Forum Working Papers, Economic Forum, vol. 16(1), pages 8-18, March.
    • Handle: RePEc:cuc:eforum:v:16:y:2026:i:1:p:8-18
    DOI: https://doi.org/10.62763/ef/1.2026.08
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    References listed on IDEAS

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    1. Chiranjit Dutta & Kara Karpman & Sumanta Basu & Nalini Ravishanker, 2023. "Review of Statistical Approaches for Modeling High-Frequency Trading Data," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 1-48, May.
    2. Laurie Hughes & Yogesh K. Dwivedi & Keyao Li & Mandanna Appanderanda & Mousa Ahmad Al-Bashrawi & Inyoung Chae, 2025. "AI Agents and Agentic Systems: Redefining Global it Management," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 28(3), pages 175-185, July.
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