Role of RPA and AI Based Document Processing in Project Management

Tosun, Dilara (2024) Role of RPA and AI Based Document Processing in Project Management. Masters thesis, Dublin, National College of Ireland.

Preview	PDF (Master of Science) Download (1MB) | Preview
Preview	PDF (Configuration manual) Download (1MB) | Preview

Abstract

This thesis investigates the transformative impact of Robotic Process Automation (RPA) and Artificial Intelligence (AI) technologies in the field of project management in an accounting unit. Our main goal and focus is to reorganize the division of labor and automate invoice reading processes. By applying RPA and AI tools, it has been analyzed how these technologies streamline workflow, increase accuracy and optimize time management in processing dense financial documents. The research adopted an experimental study approach examining a specific accounting unit to demonstrate the practical results of RPA and AI integration. The findings highlight the potential of these technologies to transform traditional accounting practices. This study not only provides insights into the operational benefits of RPA and AI, but also discusses the challenges and considerations for successful implementation. Aiming for a sustainable and long-term study, it offers a perspective that reduces the waste of human labor in unnecessary areas and aims to perform repetitive operations by AI. This article uses a series of empirical case studies and quantitative analysis methodologies to evaluate the effectiveness of RPA and AI-based document processing systems and their impact on workflows. These methods are designed to measure and improve the efficiency, error rates, and user experience of systems.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Del Rosal, Victor UNSPECIFIED
Uncontrolled Keywords:	Robotic Process Automation (RPA); Artificial Intelligence (AI); Project Management; Accounting Automation; Invoice Processing, Workflow Optimization, Efficiency Improvement, Technology Integration; Operational Efficiency; Digital Transformation
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Project management
Divisions:	School of Computing > Master of Science in Artificial Intelligence for Business
Depositing User:	Tamara Malone
Date Deposited:	07 Apr 2025 12:31
Last Modified:	07 Apr 2025 12:31
URI:	https://norma.ncirl.ie/id/eprint/7385

Actions (login required)

View Item