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Workflow Optimization in Finance Using Multi-Agent Systems

Radoslav Dodnikov
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Radoslav Dodnikov: University of National and World Economy, Sofia, Bulgaria

Innovative Information Technologies for Economy Digitalization (IITED), 2024, issue 1, 182-188

Abstract: In today's financial industry, optimizing workflows is essential for enhancing efficiency and reducing operational costs. This paper examines how multi-agent systems can be leveraged within the finance sector to improve workflow management. We explore the challenges of implementing these systems, such as ensuring effective communication between agents and maintaining system reliability, and discuss their potential to automate complex processes and enhance decision-making. By analyzing current advancements and real-world applications, the study highlights the significant impact that multi-agent systems can have on streamlining financial operations. This research connects the theoretical possibilities of agent-based technologies with practical strategies for their implementation, aiming to contribute to the future development of intelligent and efficient financial workflows.

Date: 2024
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