Developing an AI Readiness Model for Software Project Management: A Thematic Analysis

Integrating emerging technologies, such as Artificial Intelligence (AI), Big Data, and Blockchain, is transforming software project management by optimizing processes, improving quality, and enabling greater automation. AI tools, including Generative AI, Machine Learning, and Natural Language Processing, are increasingly applied across project life cycle stages to address tasks such as resource allocation, stakeholder identification, documentation, and risk management. This study employed a systematic literature review to explore AI applications and key adoption determinants, including technical feasibility, organizational culture, data quality, and leadership support. Additionally, semi-structured interviews with project managers and leaders provided practical insights into organizational preparedness and AI applications. Thematic analysis of the findings identified critical readiness factors, such as technical feasibility, the ability to refine AI outputs, and effective prompt engineering. A comprehensive framework was developed to assess AI readiness across technical, organizational, and human dimensions. The proposed framework offers actionable insights for organizations to evaluate and improve their readiness for AI adoption systematically. This study provides a foundation for enhancing organizational preparedness and driving successful AI implementation by addressing the complexities of integrating AI into software project management.