AI-Driven Financial Project Management

Abstract

This chapter examines how artificial intelligence (AI) enhances financial project management by improving decision-making and risk control. It reviews AI use in cost forecasting, budget optimization, risk prediction, and real-time performance monitoring across construction, IT, and healthcare projects. Using literature review and case analysis, the study highlights machine learning, natural language processing, and predictive analytics as key tools that help anticipate cost overruns, optimize resources, and strengthen earned value management. Findings show 30–50% higher forecasting accuracy, 40–60% earlier risk detection, and 200–400% ROI within three years. Forecasting error fell from 20% to 11%, and risk impact declined by 25–35%. The chapter also identifies success factors such as quality data, executive support, phased adoption, and strong model governance, while addressing challenges related to data quality, transparency, and human–AI collaboration.

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