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AI Scrum: The Agile Inversion
Paperback
Business GeneralApplicationsGeneral Computers
Publisher: James J. Baker
Published: Feb 27 2026
Pages: 752
Weight: 2.82
Height: 1.50 Width: 7.00 Depth: 10.00
Language: English
Artificial intelligence has fundamentally changed how software and knowledge work gets delivered. Code that once took weeks to write now takes hours. Features that required entire sprints to build can be generated in an afternoon. Yet most organizations are celebrating faster output while quietly accumulating a crisis they have not yet named. When AI eliminates the development bottleneck, a new one emerges in its place. Validation complexity, governance requirements, and integration challenges now determine delivery speed, not the pace of coding. The frameworks most teams rely on were never designed for this reality.
AI Scrum: The Agile Inversion is a project leadership framework built for the world as it actually exists today. Drawing on more than two decades of enterprise delivery experience across financial services, energy, manufacturing, and enterprise data platforms, author James J. Baker presents a complete methodology for teams navigating the shift from traditional Agile to AI-augmented delivery. This is not a minor adjustment to Scrum. It is a structural reimagining of how modern teams should plan, validate, govern, and deliver in an era where artificial intelligence is a permanent member of every team.
The framework applies across disciplines, including software development, web and video production, marketing, human resources, legal, compliance, and Salesforce and CRM environments. It applies equally across methodologies, including Scrum, Kanban, Scrumban, Waterfall, and others. Single teams taking their first steps with AI tools and multi-team enterprises managing complex transformations will both find a clear, practical path forward within these pages.
Fourteen chapters cover the complete lifecycle of AI Scrum adoption, from the principles and roles that define the framework to the ceremonies, metrics, governance structures, and change management strategies that make transformation sustainable. Six appendices provide reusable templates, role comparison tables, salary benchmarks, and implementation tools practitioners can apply immediately.
The teams that thrive in the AI era will not be the ones who adopted fastest. They will be the ones who governed best. This book shows you how.
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