Abstract
Agile Project Management (APM) is widely used in Australia; however, surveys and academic literature indicate that benefit realisation within APM remains under-examined, contributing to persistently low project success rate. Although relatively nascent, Artificial Intelligence (AI) offers promising capabilities to address this gap when embedded in Agile practices. Accordingly, this study proposes an integrated framework- 2PT-AI-ABRF-that positions AI at the forefront while synthesising the People-Process-Technology paradigm, Sociotechnical Systems theory, Dynamic Capabilities, Agile principles, and PMI’s Benefit Realization Management Framework to enable systematic, measurable benefit realization in Agile contexts. The framework will be empirically evaluated using a sequential explanatory mixed-methods design comprising a quantitative survey of Australian Agile practitioners with AI experience and a follow-on qualitative case study to explore underlying mechanisms. The research contribution includes a validated, theory-integrated model of AI-enabled value delivery. The findings will offer rigorous, actionable guidance for scaling AI adoption in Agile environments.
Recommended Citation
Ghimire, Amar; Sarbazhosseini, Hamed; and Alsheikh, Mohammad Abu, "Integrating AI into Agile Benefit Realisation: The 2PT - AI
- ABRF Framework" (2025). ACIS 2025 Proceedings. 237.
https://aisel.aisnet.org/acis2025/237