Strategic use of AI for Enhancing Operational Scalability in U.S. Technology Startups and Fintech Firms

Authors

  • Reena Faisal Department of Finance, College of Professional Studies, Johnson and Wales University, Rhode Island, US.
  • Samira Kamran Masters in Business Administration, Walden University, USA
  • Obah Tawo Department of Computer Science, Wrexham University, Wrexham, Wales, United Kingdom https://orcid.org/0009-0009-5386-3268
  • Carl Selasie Amekudzi Department of Information and Telecommunications System, Ohio University
  • Martins Awofadeju Department of Criminal Justice, College of Public Affairs, University of Baltimore, Baltimore Maryland, USA https://orcid.org/0009-0005-1382-648X
  • Beryl Fonkem Business Administration (Accounting), Fenimore & Fisher College of Business, Oral Roberts University, United States

Keywords:

Strategic, AI, Enhancing, Operational, Scalability, U.S, Technology, Startups, Fintech, Firms

Abstract

Artificial Intelligence (AI) in the existing business systems has a huge potential to enhance the operational scalability of the technology start-ups and the fintech companies. This paper presents the long-term effects of AI-powered process automation on the operational phenomenon and efficiency of American technology start-ups and fintech firms. This study fills the gap in literature by measuring the effects of AI adoption over time on the productivity, cost savings, and overall operating performance. This paper begins with an introduction. The introduction first sets the need for operational challenges, and then the application of AI in overcoming such challenges. Based on the existing findings, the literature review summarizes the current knowledge regarding AI usage within start-ups and the specific fields addressed in this study, such as process automation and efficiency. Gaps demonstrated by long term research is also highlighted by this study. The methodology section describes the research methodology involving case studies, interviews and quantitative data analysis to produce longitudinal data for analysis of the role of AI in business operations. It has been observed from the results that there is an retrospectively improvement in the efficiency and in the reduction of the costs post AI integration. These disparities are being observed across different levels of integration. The results are discussed in this paper comparing results between technology start-ups and fintechs and assessing the implications for the practice in the industry. The study has also looked at the issues and limitations observed particularly in the integration of AI solutions and how this impacts overall operacionality. From its findings, the paper provides several recommendations targeted at business leaders, on successfully deploying of AI in a manner that will engender sustainable growth and operational scalabilityThe research also contributes to the existing body of literature on the impact of AI on operational scalability, and can be useful to leaders interested in gaining competitive advantage through the use of AI.

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Published

2023-12-28

How to Cite

Faisal, R., Kamran, S., Tawo, O., Amekudzi, C. S., Awofadeju, M., & Fonkem, B. (2023). Strategic use of AI for Enhancing Operational Scalability in U.S. Technology Startups and Fintech Firms. International Journal of Scientific Research and Modern Technology, 2(12), 10–22. Retrieved from https://www.ijsrmt.com/index.php/ijsrmt/article/view/157

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