Abstract
This paper presents the GenAI–PM Integration Model, a conceptual framework for embedding Generative Artificial Intelligence (GenAI) within Agile project management across the Software Development Life Cycle (SDLC). The framework addresses critical challenges posed by increased complexity, data management, and stakeholder collaboration in contemporary projects. It aligns specific GenAI capabilities to Agile project phases, demonstrating how AI can enhance decision-making, streamline processes, improve resource allocation, and foster higher-quality outcomes. By emphasizing co-creative interactions between AI systems and human teams, this model highlights the transformative potential of integrating GenAI into Agile methodologies, contributing to more adaptive and responsive information systems development practices.
Paper Type
Poster
DOI
10.62036/ISD.2025.8
Integrating GenAI and Project Management: A Phase-wise Model for Co-Creative Information Systems Development
This paper presents the GenAI–PM Integration Model, a conceptual framework for embedding Generative Artificial Intelligence (GenAI) within Agile project management across the Software Development Life Cycle (SDLC). The framework addresses critical challenges posed by increased complexity, data management, and stakeholder collaboration in contemporary projects. It aligns specific GenAI capabilities to Agile project phases, demonstrating how AI can enhance decision-making, streamline processes, improve resource allocation, and foster higher-quality outcomes. By emphasizing co-creative interactions between AI systems and human teams, this model highlights the transformative potential of integrating GenAI into Agile methodologies, contributing to more adaptive and responsive information systems development practices.
Recommended Citation
Ostrowski, S. (2025). Integrating GenAI and Project Management: A Phase-wise Model for Co-Creative Information Systems DevelopmentIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.8