Research on the Path of Business Intelligent Transformation Based on RPA + AIGC

Qiaoyu Cao

doi:10.71222/bgpzw435

Authors

Qiaoyu Cao Information Management and New Systems Program, School of Software College, Dalian University of Foreign Languages, Dalian, Liaoning, China Author

DOI:

https://doi.org/10.71222/bgpzw435

Keywords:

RPA, AIGC, intelligent transformation, implementation path

Abstract

The introduction of AI-generated content (AIGC) influenced by Robotic Process Automation (RPA) is allowing businesses to take advantage of emerging technology. The objective of this study is to determine the extent to which "RPA + AIGC" is transforming fundamental operations in enterprises and providing a comprehensive solution to the hurdles associated with integrating these technologies into business operations and how to monetize the business. Based on the findings from the research, the study has produced a progression transformation framework which includes technology platforms, data engineering and organizational architectures; as well as a blueprint comprised of both theoretical insight and real-world application for companies to utilize in adapting to intelligent transformation, as well as to enhance their competitive position in a rapidly changing marketplace.

References

1. E. Omol, L. Mburu, and P. Abuonji, "Unlocking digital transformation: The pivotal role of data analytics and business intelligence strategies," International Journal of Knowledge Content Development & Technology, vol. 14, no. 3, pp. 77-91, 2024.

2. M. Benjamin, "AI-Powered Decision-Making in RPA: Enhancing Business Intelligence," 2025.

3. F. Wang, D. Zhao, A. Shi, and S. Liu, "Digital Intelligence Empowerment: a Study on the "Three Integration" Talent Training Model of Trade Economy," .

4. R. Alhaimer, A. N. Alkhaldi, E. Alharbi, and B. Almutairi, "Reimagining Marketing Campaigns in Kuwait: A Theoretical Exploration of Digital Transformation Through a Business Intelligence Lens," International Journal of Business Intelligence Research (IJBIR), vol. 16, no. 1, pp. 1-30, 2025.

5. M. FIGURA, D. JURACKA, and J. IMPPOLA, "From Idea to Impact: The Role of Artificial Intelligence in the Transformation of Business Models," Management Dynamics in the Knowledge Economy, vol. 13, no. 2, pp. 120-147, 2025. doi: 10.2478/mdke-2025-0008

6. X. Cai, "Digital intelligent transformation and promotion path of new business talent training model under the background of artificial intelligence," None. Journal of Industry and Engineering Management (ISSN: 2959-0612), vol. 2, no. 1, p. 51, 2024.

7. G. Panchal, B. Clegg, E. E. Koupaei, D. Masi, and I. Collis, "Digital transformation and business intelligence for a SME: systems thinking action research using PrOH modelling," Procedia computer science, vol. 232, pp. 1809-1818, 2024. doi: 10.1016/j.procs.2024.02.003

8. K. B. Dakhkilgova, T. G. Aygumov, and N. M. Mirzoeva, "Possible transformation of agriculture using artificial intelligence: Business opportunities," In BIO Web of Conferences, 2024, p. 03010. doi: 10.1051/bioconf/202414003010