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RPA in Salesforce: Bridging Automation Gaps in Enterprise Systems

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  • Naga Sai Uday Kiran Bheemarpu

    (California State University, Fullerton, USA)

Abstract

The integration of Robotic Process Automation (RPA) with Salesforce represents a transformative paradigm to enterprise automation, addressing the fundamental challenge of connecting systems across organizational boundaries. This article examines how RPA extends native Salesforce automation capabilities by bridging gaps between connected and disconnected systems through user interface-level interactions. The complementary nature of these technologies enables organizations to maintain Salesforce as their central orchestration hub while leveraging RPA to interact with legacy systems, web portals, and applications lacking API connectivity. Through evaluation of architectural frameworks, key use cases, and organizational benefits, the article demonstrates that unified RPA-Salesforce solutions deliver substantial improvements in process efficiency, data consistency, error reduction, and employee experience. Case examples illustrate practical applications in cross-system order processing, document handling, compliance management, legacy system integration, and human-in-the-loop workflows. The consolidation of automation technologies under a single platform strategy represents a maturation of enterprise automation methods, moving beyond tactical initiatives toward comprehensive, enterprise-wide automation frameworks centered on Salesforce as the primary business platform. This integration strategy addresses the persistent challenge of siloed automation initiatives that have historically limited the full potential of digital transformation efforts.

Suggested Citation

  • Naga Sai Uday Kiran Bheemarpu, 2025. "RPA in Salesforce: Bridging Automation Gaps in Enterprise Systems," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(3), pages 866-872, April.
  • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:3:id:9687
    DOI: 10.32996/jcsts.2025.7.3.96
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