Robotic Process Automation (RPA) continues to be recognized in the field of digital transformation due to its capacity to boost productivity, enhance quality, and elevate employee satisfaction.Combining RPA with artificial intelligence and machine learning enhances operational efficiency, reduces costs, and enhances performance.This article employs the Piprecia method to determine the crucial factors for successfully building a Robotic Process Automation (RPA) platform.The analysis focuses on matters such as technological framework, compatibility, employee learning, adaptability, and ability to expand.Findings provide strategic recommendations for the effective, practical, and customized implementation of RPA platforms in the public sector.
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