Abstract: Customer support onboarding is a critical phase that directly impacts client satisfaction and operational efficiency. Traditional onboarding methods often involve repetitive tasks and manual data handling, leading to delays, errors, and inconsistent service quality. This paper presents an intelligent automation framework designed to streamline the customer support onboarding process using Robotic Process Automation (RPA) techniques, developed with Python and deployed through a Streamlit based web interface. The architecture, system components, and automation logic are thoroughly discussed, emphasizing modularity, scalability, and user-centric design. Experimental evaluation confirms the effectiveness of the solution in reducing onboarding time and operational workload, demonstrating its suitability for broader enterprise integration and automation of customer service workflows.

Keywords: Robotic Process Automation, Customer Support, Onboarding, Streamlit, Python, Process Automation, Web Application.

| DOI: 10.17148/IARJSET.2025.12433