TY - JOUR
T1 - Agentic systems as catalysts for innovation in FinTech
T2 - exploring opportunities, challenges and a research agenda
AU - Elgendy, Ibrahim A.
AU - Helal, Mohamed Y.I.
AU - Al-Sharafi, Mohammed A.
AU - Albashrawi, Mousa Ahmed
AU - Al-Ahmadi, Mohammad S.
AU - Jeon, Il
AU - Dwivedi, Yogesh K.
N1 - Publisher Copyright:
© 2025, Emerald Publishing Limited.
PY - 2025
Y1 - 2025
N2 - Purpose: Agentic artificial intelligence (AI) systems, which feature autonomous decision-making and adaptive intelligence, can potentially revolutionize financial technology (FinTech) by combining algorithmic accuracy with human knowledge. This study aims to examine the opportunities, challenges and transformational potential of agentic systems in FinTech and suggests a thorough research agenda for directing their sustainable and ethical integration. Design/methodology/approach: This study conceptualizes the changing environment of agentic systems by combining insights from technical whitepapers, industrial case studies and scholarly literature. It assesses how they are changing conventional financial frameworks and determines key factors that affect their adoption. Findings: The sentiment analysis of 170 social media posts revealed an overwhelmingly positive public perception (85%) of agentic AI in FinTech. In addition, the study finds that agentic systems fundamentally alter FinTech by providing autonomous, adaptive and context-aware financial services in trade, fraud detection, customer interaction and regulation. However, their widespread implementation presents challenges such as transparency, ethical alignment, system robustness and regulatory supervision. Research limitations/implications: This paper provides a fundamental paradigm to help stakeholders navigate the FinTech industry’s adoption of agentic systems. It examines the many facets of these systems’ challenges and novel opportunities, especially automation, personalization and risk management. It also presents a research agenda for the future that aims to direct future investigations and promote cooperation among industry, academia and regulatory agencies. Originality/value: To the best of the authors’ knowledge, this research is one of the first comprehensive evaluations of agentic systems in FinTech. It emphasizes how multidisciplinary cooperation is essential to ensuring that these systems promote reasonable, long-term advancements in financial digitalization.
AB - Purpose: Agentic artificial intelligence (AI) systems, which feature autonomous decision-making and adaptive intelligence, can potentially revolutionize financial technology (FinTech) by combining algorithmic accuracy with human knowledge. This study aims to examine the opportunities, challenges and transformational potential of agentic systems in FinTech and suggests a thorough research agenda for directing their sustainable and ethical integration. Design/methodology/approach: This study conceptualizes the changing environment of agentic systems by combining insights from technical whitepapers, industrial case studies and scholarly literature. It assesses how they are changing conventional financial frameworks and determines key factors that affect their adoption. Findings: The sentiment analysis of 170 social media posts revealed an overwhelmingly positive public perception (85%) of agentic AI in FinTech. In addition, the study finds that agentic systems fundamentally alter FinTech by providing autonomous, adaptive and context-aware financial services in trade, fraud detection, customer interaction and regulation. However, their widespread implementation presents challenges such as transparency, ethical alignment, system robustness and regulatory supervision. Research limitations/implications: This paper provides a fundamental paradigm to help stakeholders navigate the FinTech industry’s adoption of agentic systems. It examines the many facets of these systems’ challenges and novel opportunities, especially automation, personalization and risk management. It also presents a research agenda for the future that aims to direct future investigations and promote cooperation among industry, academia and regulatory agencies. Originality/value: To the best of the authors’ knowledge, this research is one of the first comprehensive evaluations of agentic systems in FinTech. It emphasizes how multidisciplinary cooperation is essential to ensuring that these systems promote reasonable, long-term advancements in financial digitalization.
KW - Agentic AI
KW - Agentic system
KW - AI-driven finance
KW - Autonomous agent
KW - Cognitive agent
KW - Digital banking
KW - Financial services
KW - FinTech
KW - Intelligent agent
KW - OpenAI operator
KW - Smart agent
KW - Virtual assistant
UR - https://www.scopus.com/pages/publications/105006991872
U2 - 10.1108/IDD-03-2025-0068
DO - 10.1108/IDD-03-2025-0068
M3 - Article
AN - SCOPUS:105006991872
SN - 2398-6247
JO - Information Discovery and Delivery
JF - Information Discovery and Delivery
ER -
