Generative Artificial Intelligence in Agile Product Management: Optimizing Task Coordination and Team Efficiency in Software Development

Authors

  • Della Anissa Putri Widodo Universitas Singaperbangsa Karawang
  • Apriade Voutama Voutama Faculty of Computer Science, Universitas Singaperbangsa Karawang

DOI:

https://doi.org/10.33022/ijcs.v14i3.4800

Keywords:

Agile Software Developmet, agile methodologies, Agile Project Management, AI in Education, Artificial Intelligence, Artificial Intelligence (AI), Software Project Management, website optimization, Website, Product Backlog, product management, Agile product management, generative ai, ai driven automation, Operational Efficiency, sprint planning, ai in agile

Abstract

The inclusion of Artificial Intelligence (AI) into Agile Product Management is revolutionizing the process of efficient software development in terms of improved coordination of tasks and team productivity optimization. Though Agile processes have gained much momentum with their iterative approach, issues like ineffective backlog management, inefficient resource allocation, and lengthy sprints continue to persist with human errors and long-time product development that could be mitigated with the use of Generative AI. This study discusses how AI-driven automation can resolve such inefficiencies in the form of a case study of the MSIB Batch 7 2024 PINTURA project, where lead times in software development were cut from 6-12 months to just under 2 months.

Author Biography

Apriade Voutama Voutama, Faculty of Computer Science, Universitas Singaperbangsa Karawang

Apriade Voutama is a faculty member at the Faculty of Computer Science, Universitas Singaperbangsa Karawang, and a lecturer for KTI (Karya Tulis Ilmiah) in the Information Systems program. He specializes in software development, Artificial Intelligence, Expert Systems, Decision Support Systems, and Artificial Neural Networks. He is currently serving as the supervisor for Della Anissa Putri Widodo's journal and KTI.

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Published

09-06-2025