Tooling Evaluations and Reference Architectures for AI- Augmented Agile Project Management: Bridging Practice and Governance in Modern Delivery Organizations
Agile and DevOps practices are central to modern delivery organizations, yet the rapid proliferation of AI- augmented project management tools has created fragmented ecosystems that weaken transparency, governance, and value realization. Although AI copilots, predictive analytics, intelligent backlog management, and autonomous agents promise improved decision- making and delivery performance, their adoption has outpaced coherent evaluation frameworks and governance- aligned architectures. This chapter addresses this gap by proposing a structured approach to evaluating AI- powered Agile tools and designing reference architectures that support responsible human-AI collaboration. Drawing on multi- criteria decision- making models, Agile and DevOps metrics, AI capability theory, and MLOps/LLMOps principles, the chapter integrates technical, organizational, and ethical dimensions. Cross- industry cases illustrate how governance- by- design enhances agility, value creation, and trust in AI- augmented Agile delivery. 2026 by IGI Global Scientific Publishing. All rights reserved.
Singha, Ranjit; Singha, Surjit; Jose, Shruti; Ruben, V. Muthu; Haokip, Alphonsa Diana
Agile AI- Powered Project Management for Modern Delivery Organizations;pp.299-336
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.4018/979-8-3373-6851-1.ch010 https://www.scopus.com/pages/publications/105036796459?origin=resultslist
Singha R., Christ University, India; Singha S., Kristu Jayanti University, India; Jose S., Christ University, India; Ruben V.M., Christ University, India; Haokip A.D., Don Bosco College, Maram, India