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Leading Enterprise AI Programs

Optimize AI Teams for Value Creation

Patrick Bangert

Develop AI solutions that create real business value with this guide to leading a successful enterprise AI program.

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EAN: 9781398623194

Edition: 1

Published: 03 Feb 2026

Format: 234 x 156

264 pages

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About the book

Turn AI ambition into measurable enterprise success with an agile, ethical, and business-focused AI strategy and program for the whole enterprise. structured, enterprise-wide strategy that scales.

Leading Enterprise AI Programs is a practical guide for CIOs, Chief AI Officers, technology directors, and senior AI and project management professionals responsible for developing, deploying, and scaling AI solutions across complex organizations.

Written by Patrick Bangert, an experienced technology executive with over two decades of expertise leading AI and machine learning teams, this book provides a proven framework for managing enterprise AI programs from project initiation to deployment and ongoing optimization.

Combining technical project management, agile methodologies, and AI governance, the book explores how to structure AI teams, prioritize use cases, manage project portfolios, and integrate AI applications into existing technology environments. Supported by real-world examples and endorsed by senior technology and AI leaders, it equips you to:

- Structure AI teams and establish scalable operating models
- Manage AI project portfolios
- Optimize data quality, AI platforms, and application interfaces
- Strengthen AI governance, model oversight, and technical risk management
- Evaluate project costs, performance, and long-term value

From establishing project charters to managing AI models, vendors, and deployment challenges, Leading Enterprise AI Programs provides the frameworks to improve technical delivery, reduce implementation risk, and build AI programs that deliver sustainable value.

Themes include: enterprise AI project management, AI program delivery, machine learning operations, AI governance, AI portfolio management

About the authors

Patrick Bangert is an experienced technology executive who has led AI and machine learning teams and programs for over two decades. He is currently VP and Chief of AI at Occidental Petroleum. He was previously the VP of AI for Samsung SDS, the founder of algorithmica technologies and the SVP of Data, Analytics, AI at Searce. He lives in San Francisco, CA.

Patrick Bangert

- Chapter - 00: Introduction;
Section - ONE: The optimal structure of the team for success;
- Chapter - 01: Setting up the right operating model;
- Chapter - 02: Building a community of citizen data scientists;
- Chapter - 03: Identifying and prioritizing use cases;
- Chapter - 04: Creating common product platforms and organizational programs;
- Chapter - 05: Managing risk and a portfolio of projects;
Section - TWO: Embedding the enterprise AI program into the value stream;
- Chapter - 06: Establishing a project charter and implementing design thinking;
- Chapter - 07: Project management and agile scrum;
- Chapter - 08: User experience and interfaces;
- Chapter - 09: Change management and adoption;
- Chapter - 10: Managing costs and rewards;
Section - THREE: Dependencies on other teams, companies, and society;
- Chapter - 11: Ensuring high-quality data;
- Chapter - 12: Conducting AI responsibly and ethically;
- Chapter - 13: Governing and maintaining AI models and applications;
- Chapter - 14: Managing vendors and encouraging open innovation;
- Chapter - 15: Lifelong learning for the team and company;
- Chapter - 16: Further reading;

Reviews

Srujana Kaddevarmuth, Global Head Applied AI Labs, Walmart

A rare blend of strategy, structure, and empathy - this book captures what it truly takes to lead AI programs that deliver impact, trust, and long-term value.

Brook Selassie, Vice President, CIO and Corporate Strategy Practice, Gartner

Leading Enterprise AI Programs is a rare work that bridges strategy design and execution realities. It unites the rigor of management doctrine with the fast-evolving challenges of AI, making it an indispensable playbook for leaders navigating transformation.

Kristine Swan, VP Digital Strategy and Innovation, Phillips 66

From navigating organizational resistance and securing executive buy-in to building scalable data infrastructure and establishing governance frameworks that actually work, I have found the practical nature of this book to be invaluable. For anyone leading or contributing to data and AI initiatives at large organizations, this book offers the kind of wisdom that typically takes years of hard-won experience to accumulate. It's become an essential part of my professional toolkit, and I suspect I will continue to reference it again and again.

Maharaj Mukherjee, Senior Vice President and Senior Architect Lead, Bank of America

Uniting strategy, governance, and technical foundations, this book is a rigorous guide to building and leading effective AI organizations.

Dhivya Nagasubramanian, AI Leader, Vice President AI Transformation & Innovation, U.S. Bank

This book isn't about algorithms or the latest buzzwords. It's a field guide for leaders who want to make AI deliver lasting business impact. By grounding the conversation in strategy, adoption, and change management, Leading Enterprise AI Programs demonstrates how to avoid the traps that derail most projects. Every executive and AI leader should keep this book within arm's reach.

Fauzia (Foz) Saeed, VP Data Product Strategy and Governance, McKesson

Leading Enterprise AI Programs is an AI playbook for senior leaders charged with scaling AI for measurable business value. Drawing on deep operational insight, Patrick Bangert captures exactly what I've seen in Fortune-100 environments. This book is a must-read for any executive serious about embedding AI across a complex, regulated organization.

Sean Im, Founder and CEO, VerticalAI

Clear and practical, this book is an essential guide for anyone launching an AI initiative, answering every pertinent question from project kickoff to full-scaledeployment. Thoughtful and meticulous, this book tackles every key question on AI-from technology and ethics to change management and deployment-making it an indispensable resource.

Temi Odesanya, Responsible AI Leader, AIG

This book tackles enterprise AI practically and realistically. It's written for leaders who are curious about where to start, managers juggling multiple AI projects, and practitioners or startups building these systems from the ground up. It openly discusses where AI projects fail and why, providing a realistic view of what you're getting into. From your first strategy meeting all the way through to maintaining operations years down the line, this book guides you through the entire journey without sugarcoating.

Sarah Karthigan, VP of AI, Weatherford

This book nails the hardest part of enterprise AI: turning strategy into sustained value. As someone leading AI in a complex enterprise, I found this book refreshingly practical. It cuts through the hype and lays out exactly what it takes to build AI programs that deliver real value at scale. It's a must-read for leaders who want AI to actually land.

Christian Anschuetz

Patrick Bangert is the real deal. He combines world-class AI expertise with the discipline to turn it into value. In a field full of noise, he's the signal.

Vinod Nair, VP Data Platform Engineering & Architecture, Comcast

Patrick Bangert is turning a complex topic into a practical roadmap any enterprise can follow with confidence for democratizing AI. Bangert shows that governance is not bureaucracy but the backbone of adoption and reminds us that leading AI is not about algorithms, but about aligning people, purpose, and processes until innovation becomes inevitable. It is all about what actions get us closer to the value and for enterprise AI programs it's practically how to bring AI to data rather than data to AI.

Ashwini Ghogare, GenAI Leader Healthcare and Life Sciences, Amazon Web Services (AWS)

This book is more than a guide to leading enterprise AI - it is a blueprint for building trust, clarity and lasting value in a rapidly evolving world. It transforms complex ideas into practical wisdom, empowering every reader to lead with purpose and confidence.

Sam Hamilton, former SVP Data and AI, Visa

The holistic initiative driven approach proposed in this book will increase the effectiveness of any enterprise AI program and increase its chance of delivering lasting value.

Andy Flowers, Enterprise AI Manager, ConocoPhillips

Patrick Bangert has delivered a clear and optimistic blueprint of turning vision into value - based upon teamwork, user focus and ethical leadership. By building trust and fostering continuous learning, it shows how AI can become a powerful force for transforming the organization.

Nasim Eftekahri, Chief AI Officer, City of Hope

In a world where AI hype often overshadows real impact, this book is a breath of fresh air. Patrick Bangert cuts through the noise, offering a blueprint that is as pragmatic as it is visionary. This book reminds us that sustainable AI success isn't about chasing the latest algorithm; it's about building trust, focusing relentlessly on business value and empowering people at every level of the enterprise. Whether you're just starting your AI journey or scaling a mature program, you'll find wisdom here that's grounded in experience and delivered with clarity. I'm grateful for Bangert's candor and leadership. This is the handbook I wish I'd had years ago.

Spriha Gogia, Senior Director of Data, Ophelia

In the age of AI, the enterprise that fails to lead its intelligent programs will soon be led by them. This practical book provides AI leaders with a clear vision and definitive path to successfully implementing an AI program within their organization.

A rare blend of strategy, structure, and empathy - this book captures what it truly takes to lead AI programs that deliver impact, trust, and long-term value.
Srujana Kaddevarmuth, Global Head Applied AI Labs, Walmart

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