Robotic Process Automation for Intelligent Business Process Management

Robotic Process Automation (RPA) is a technology that transformed the world in the realm of Business Process Management (BPM), allowing organizations to automate routine work, enhance business process performance, and cut costs. The essay below describes how RPA, coupled with intelligent BPM, will transform business processes through the use of RPA, artificial intelligence (AI), and machine learning (ML). With the incorporation of cognitive automation, smart BPM not only automates processes but also improves decision-making, decreases errors, and increases customer satisfaction. The paper also briefly discusses other applications of RPA in BPM in finance, HR, customer care, and supply chain management. The paper also discusses organizational implementation challenges of RPA, e.g., technical integration, data privacy, and workers' resistance. The article concludes on a positive note for RPA in BPM's future with expectations of what newer technology must do to improve and become more intelligent, leaner, and more rapid business processes.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-04
DOI
https://doi.org/10.5281/zenodo.15147423
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Robotic Process Automation for Intelligent Business Process Management

Zenodo (CERN European Organization for Nuclear Research)
Robotic Process Automation Applications
article

Robotic Process Automation for Intelligent Business Process Management

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Abstract

Robotic Process Automation (RPA) is a technology that transformed the world in the realm of Business Process Management (BPM), allowing organizations to automate routine work, enhance business process performance, and cut costs. The essay below describes how RPA, coupled with intelligent BPM, will transform business processes through the use of RPA, artificial intelligence (AI), and machine learning (ML). With the incorporation of cognitive automation, smart BPM not only automates processes but also improves decision-making, decreases errors, and increases customer satisfaction. The paper also briefly discusses other applications of RPA in BPM in finance, HR, customer care, and supply chain management. The paper also discusses organizational implementation challenges of RPA, e.g., technical integration, data privacy, and workers' resistance. The article concludes on a positive note for RPA in BPM's future with expectations of what newer technology must do to improve and become more intelligent, leaner, and more rapid business processes.

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