Aravindh Balan 03 03 An Artificial Intelligence AI transformation is also undergoing a transformation to Software Project Management SPM which is equipped with intelligent frameworks that are datadriven and thus enhance planning execution monitoring and control across the project lifecycle The paper presents AIbased strategies including AIbased Agile frameworks AIbased DevOpsMLOps integration smart Decision Support System DSS and automatic resource optimization These models are based on machine learning ML predictive analytics natural language processing NLP and realtime monitoring systems to improve the process of the sprint planning foreseeing risks cost estimation and work of the teams Anomaly detection systems and AIenabled dashboards assist the proactive decisionmaking and MLOps ensure the reliability of the models and ability to be scaled and to meet the governance requirements The other point that the paper has highlighted is the use of AI in initiation planning execution monitoring and closure phases which are advantageous in regard to enhanced forecasting accuracy resource optimization augmented productivity and knowledge retention Even though the opportunities are extremely high the problems of highcost implementation privacy of data resistance to change and integration challenges have to be addressed to maximize the transformative potential of AI within the framework of contemporary software project environments Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026