Research on the Development and Application of an Expense Reimbursement Robot Based on AI+RPA Technology

Expense reimbursement business is a frequently occurring economic activity in enterprises. However, traditional expense reimbursement processes suffer from issues such as time-consuming manual operations, highly repetitive workflows, high error rates, high management costs, and underutilized data value. By introducing AI+RPA technology, it is possible to achieve intelligent handling of document reception, auditing, payment, and accounting processing, effectively addressing problems such as low efficiency, long processing times, and high error rates in expense reimbursement. When introducing RPA technology and constructing an expense reimbursement robot model based on the infrastructure layer, data layer, service layer, and application layer, attention should mainly be paid to key application points. During actual implementation, it is essential to ensure proper trial operation and log management, as well as systematic risk prevention.

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Publication Details

Journal
Academic journal of management and social sciences
Published
2025-08-29
DOI
https://doi.org/10.54097/fc0wq406
Primary Topic
Regional Development and Environment
Type
article
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article

Research on the Development and Application of an Expense Reimbursement Robot Based on AI+RPA Technology

Cheng Jung Li
Academic journal of management and social sciences
Regional Development and Environment
article

Research on the Development and Application of an Expense Reimbursement Robot Based on AI+RPA Technology

Cheng Jung Li
article en

Abstract

Expense reimbursement business is a frequently occurring economic activity in enterprises. However, traditional expense reimbursement processes suffer from issues such as time-consuming manual operations, highly repetitive workflows, high error rates, high management costs, and underutilized data value. By introducing AI+RPA technology, it is possible to achieve intelligent handling of document reception, auditing, payment, and accounting processing, effectively addressing problems such as low efficiency, long processing times, and high error rates in expense reimbursement. When introducing RPA technology and constructing an expense reimbursement robot model based on the infrastructure layer, data layer, service layer, and application layer, attention should mainly be paid to key application points. During actual implementation, it is essential to ensure proper trial operation and log management, as well as systematic risk prevention.

Academic journal of management and social sciencesVol. 12(2)
Shanghai University of Political Science and Law (CN)
Openalex Percentile: Top 69%
Regional Development and Environment
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