FURI | Fall 2025

AI in Project Risk Management (Cont.)

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Traditional software risk management relies on expensive proprietary software, which makes cost a significant barrier to risk management. High costs can burden budget-limited software startups or have them resort to manual processes, which introduce subjectivity. This continuation of prior work advances a comparative study of generative AI models and established tools using newly assembled open and synthetic datasets integrated in Jira. The project will conduct a cost-benefit comparative analysis of existing tools used in the software industry, evaluating the best and most cost-effective method to provide accessible and reliable support in risk management.