Implementation and Guarantee Model Construction of Financial Bpo Cost Control Under Cloud Computing Platform

This paper takes Enterprise T as the research object and evaluates the implementation effects of three cost-control measures—tax cost, labor cost, and operating cost—proposed within the financial cost control framework of a financial BPO project. Based on the principles of cost control in financial BPO projects, the study further proposes operational safeguard measures and establishes a cost early warning model by integrating a BP neural network, support vector machine (SVM), and a similar-body synthesis algorithm. After implementing the cost control strategies, Enterprise T’s tax cost was reduced to 372.8 million, talent recruitment costs were stabilized at approximately 300,000–500,000, and operating costs decreased by 5.59% compared with the previous year. The cost early warning model was then used to forecast and monitor the company’s costs for the four quarters of 2024. The results indicate that the enterprise’s costs remained within a generally reasonable growth range throughout 2024. Only the third quarter showed a relatively low cost growth rate of 5.419%, falling within the white-light warning zone. However, the warning level was not considered severe, and Enterprise T only needs to implement targeted measures to address the identified issue.