A Quantitative Analysis of AI-Based Solutions in IT Program Management: Performance Metrics and Predictive Modeling

Abstract

This paper presents a comprehensive quantitative analysis of AI-based solutions in IT program management, 
with a focus on performance metrics and predictive modeling. As organizations increasingly integrate AI 
into their project management processes, it becomes essential to assess the effectiveness and efficiency of 
these tools. This study evaluates the impact of AI on key performance indicators (KPIs) such as project 
delivery time, resource allocation, cost efficiency, and risk management. The paper applies predictive 
modeling techniques to forecast project outcomes, identify potential bottlenecks, and optimize resource 
distribution. Data from real-world IT programs and AI implementations are analyzed to provide insights into 
how AI-driven tools can enhance decision-making, mitigate risks, and improve overall program 
performance. The findings suggest that AI can significantly improve IT program management by automating 
routine tasks, predicting risks, and providing actionable insights for better decision-making.