DEVELOPMENT OF A GENERATIVE AI-POWERED PAYMENT AGENT FOR UZBEKISTAN’S FINTECH ECOSYSTEM

Authors

  • Davronova Nigina Davronova Master's Student, Department of Multimedia Technologies Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent, Uzbekistan

Keywords:

Generative AI, Payment Agent, Fintech, Uzbekistan, Agentic Commerce, Large Language Models (LLMs), Digital Payments, System Architecture, AI Security, Digital Uzbekistan – 2030.

Abstract

 In today’s world, the generation of evolving GenAI technology has had an impact on global financial services industry, presenting new levels of innovation and efficiency. In this context the thesis analyses the Uzbekistan’s fintech industry and proposes the design of a GenAI payment agent that facilitates the automated and advanced levels of transaction of financial services beyond basic command.

The design proposes and contextualizes global technology best practices to meet the regulatory and infrastructural market conditions of Uzbekistan and the system and payment processors, HUMO and Uzcard.

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References

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Government of Uzbekistan. (2021). Digital Uzbekistan – 2030: National digital transformation strategy. Official state document.

Bain & Company. (2025). The future of financial services: AI agents and beyond. Global Financial Services Report.

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Published

2025-12-15

How to Cite

Davronova Nigina Davronova. (2025). DEVELOPMENT OF A GENERATIVE AI-POWERED PAYMENT AGENT FOR UZBEKISTAN’S FINTECH ECOSYSTEM. Journal of Applied Science and Social Science, 15(12), 567–572. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/2650

Issue

Vol. 15 No. 12 (2025): Volume 15 Issue 12

Section

Articles

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