Artificial Intelligence Implementation in Agile Project Management Addressing Challenges and Maximizing Impact
Artificial Intelligence Implementation in Agile Project Management Addressing Challenges and Maximizing Impact
Harry Leonardo Lumbanraja,T. Raharjo,Anita Nur Fitriani
TLDR
This study examines AI's impact on key Agile phases: envision, speculate, explore, adapt, adapt, and close to highlight AI's critical role in improving project outcomes by addressing implementation challenges.
Abstract
The Agile methodology, with an 80% adoption rate, often faces challenges leading to project failures. This study investigates using artificial intelligence (AI) to overcome these challenges through a systematic literature review of 44 papers. It examines AI's impact on key Agile phases: envision, speculate, explore, adapt, and close. Findings highlight AI's critical role in improving project outcomes by addressing implementation challenges. AI tools aid in risk assessment and project selection during planning, enhance effort estimation and task allocation in speculation, improve team communication and technical issue resolution in exploration, optimize systems in adaptation, and provide valuable insights in closure. The paper offers guidance on effective AI integration to enhance Agile Project Management success.