Enhancing Financial Audit Efficiency Through RPA Implementation: A Comparative Analysis in Manufacturing Industry

Authors

  • Liya Ge Master of Science in Finance, Washington University, MO, USA Author

DOI:

https://doi.org/10.63575/CIA.2024.20106

Keywords:

Robotic Process Automation, Financial Audit, Manufacturing Industry, Digital Transformation

Abstract

This research investigates the implementation of Robotic Process Automation (RPA) technology in financial audit processes within the manufacturing industry, focusing on comparative analysis between manual and automated procedures. The study examines the deployment of RPA tools including UiPath and Automation Anywhere in automating critical audit functions such as invoice processing, bank reconciliation, and expense categorization. Through a comprehensive case study approach involving a mid-sized manufacturing company, quantitative and qualitative metrics were collected to evaluate performance improvements. Results demonstrate significant efficiency gains with 73% reduction in processing time, 89% decrease in error rates, and annual cost savings of $425,000. The implementation revealed critical success factors including technical infrastructure readiness, organizational support structures, and continuous maintenance protocols. This research contributes to understanding RPA adoption challenges and benefits in financial auditing, providing practical insights for manufacturing enterprises pursuing digital transformation initiatives.

Published

2024-01-27

How to Cite

[1]
Liya Ge, “Enhancing Financial Audit Efficiency Through RPA Implementation: A Comparative Analysis in Manufacturing Industry”, Journal of Computing Innovations and Applications, vol. 2, no. 1, pp. 62–73, Jan. 2024, doi: 10.63575/CIA.2024.20106.