Ai-based financial risk assessment tools in project planning and execution

Abstract

In today's dynamic and uncertain economic environment, financial risk assessment is critical to the success of project planning and execution. Traditional methods of risk analysis often fall short in addressing the complexity and real-time data demands of modern projects. This paper explores the emergence and application of Artificial Intelligence (AI)-based tools that enhance financial risk assessment through automation, predictive analytics, and data-driven decision-making. By leveraging technologies such as machine learning, natural language processing, and expert systems, AI tools can identify potential financial risks, forecast cost overruns, optimize budget allocation, and support strategic interventions during project lifecycles. The paper also highlights recent case studies and industry implementations, demonstrating how AI is revolutionizing financial risk management in sectors such as construction, IT, energy, and infrastructure. Challenges related to data privacy, algorithmic transparency, and integration with legacy systems are also discussed. The findings suggest that AI-based tools significantly improve risk mitigation strategies, enabling more resilient and cost-effective project execution.