Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Singha, Ranjit; Singha, Surjit; Jose, Shruti; Ruben, V. Muthu; Haokip, Alphonsa Diana Title A name given to the resource Tooling Evaluations and Reference Architectures for AI- Augmented Agile Project Management: Bridging Practice and Governance in Modern Delivery Organizations Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Agile AI- Powered Project Management for Modern Delivery Organizations;pp.299-336 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-6851-1.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-6851-1.ch010</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105036796459?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105036796459?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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 Description An account of the resource 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. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833736853-5; 979-833736851-1; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online