Patrick McGarry publishes AI change playbook on Amazon

Federal Chief Data Officer Patrick McGarry has released The Adaptive Organization: Leading Change in the AI Era through Data Literacy Press, aiming at the organizational reasons AI projects stall. The book is now available on Amazon and targets data, analytics, and transformation leaders trying to move AI from pilots into production. Why it matters: - Many AI programs fail to scale because organizations do not change how they govern, staff, and run work. - The book frames AI adoption as an operating-model problem, not just a technology problem. - The target audience includes chief data officers, chief analytics officers, chief data and AI officers, CIOs, and senior transformation executives in enterprise, government, and defense. What happened: - Data Literacy Press announced the global release of The Adaptive Organization: Leading Change in the AI Era. - Patrick McGarry, Federal Chief Data Officer at ServiceNow, wrote the debut book. - The book is now available on Amazon through Data Literacy Press. - The release comes as organizations worldwide try to bridge AI ambition and operational capability. The details: - McGarry argues that the persistent gap between data and AI strategy and operational execution stems from organizational design, not a lack of technology. - The book says legacy systems, siloed teams, change-resistant cultures, and governance policies that never reach day-to-day workflows keep AI pilots from scaling. - The CATALOG Framework organizes seven connected domains: Culture and Talent, Analytics and AI, Technology and Architecture, Alignment, Leadership and Governance, Operations and Delivery, and Growth and Measurement. - McGarry argues leaders should manage those domains as one connected system rather than separate committee workstreams. - The book draws on Deming’s quality principles and treats governance embedded in workflows as organizational infrastructure. - The book includes playbooks for organizational readiness assessments and governance design. - The book includes decision models for sequencing initiatives and navigating organizational politics. - The book includes frameworks for large-scale enterprise transformation. - The book includes practical approaches for stakeholder alignment across siloed teams. - The book includes case studies from government, defense, healthcare, and commercial enterprises. - McGarry says two decades of advising C-suite executives across federal civilian, defense, intelligence, and commercial technology sectors shaped the book’s cross-sector perspective. Between the lines: - The book is positioned against AI titles that focus mainly on tools, models, or technical deployment. - The argument implies that AI investment can underperform when leadership treats governance and culture as secondary tasks. - Foreword author Douglas B. Laney says the book shows how to close the gap between data ambition and data reality when the problem is organizational design. - Sanjeev Mohan describes the framework as treating governance, culture, and leadership as engineering disciplines. - Barr Moses says McGarry has firsthand experience with the point where modernization plans become real architecture decisions. What’s next: - Data Literacy Press is marketing the book to leaders responsible for AI adoption and enterprise transformation. - The book is available now on Amazon.com. - The release links to McGarry’s LinkedIn profile: Patrick McGarry . The bottom line: - McGarry’s core message is that AI success depends less on buying more technology and more on redesigning the organization around how decisions actually get made.