“Global Software Development” involves creating software with teams located around the world. Agile development was introduced to help software companies innovate beyond traditional methods. Agile practices focus on short development cycles and iterative improvements. This research explores how companies are increasingly using agile methods to produce high-quality software more quickly than before. The purpose of this paper is to gather expert opinions of a specific evaluation model value and relate it with artificial intelligence (AI) for better risk management. A questionnaire with Likert-scale questions was developed to assess this model. The research methodology included expert analysis and validated the survey using Cronbach’s Alpha, which measured reliability. A total of 41 IT professionals were interviewed. The reliability score obtained was 0.85, based on four items. AI also can be used to improve decision-making by analyzing past data and current project conditions, helping teams prioritize tasks and allocate resources effectively. Future research may explore integrating AI into the Agile framework to improve risk management in software development globally.