A conceptual architecture for optimizing IT Project Management using RPA and AI

Abstract

The increasing complexity of IT development projects requires new approaches for optimizing project management processes. This paper proposes a conceptual framework for Project Management optimization in IT projects through the integration of Robotic Process Automation and Artificial Intelligence. The framework is structured into three layers: Process Layer, Automation Layer, and Optimization Layer, addressing process design, automated execution, and intelligent decision support. AI-based agents are introduced to analyze project data and generate recommendations for improved planning and resource utilization. A conceptual case study based on an IT project managed using Jira is proposed to illustrate the applicability of the framework. The proposed approach aims to reduce administrative effort, enhance transparency, and support continuous improvement in IT project management.