Overcome the AI delivery bottleneck
Identify the reasons for delayed delivery and the changes that increase speed.
A New Book from Pearson
The Lean AI Handbook
Building, Deploying, and Scaling AI for Business Value
AI projects do not fail because the math is hard.
They fail because delivery is.
A hands-on framework combining Lean, DataOps, MLOps, and cross-functional delivery to move AI from prototype to production with speed.
Coming to Amazon in December 2026.
Amazon preorder link coming soon.
The book
From pilot purgatory to business value
The Lean AI Handbook shows leaders, analysts, and AI builders how to build, deploy, and scale AI that delivers real business value, quickly and reliably using Lean and Agile practices. Readers learn how to streamline the path to production with Product Management, DataOps, and MLOps; work in small batches; focus on the right metrics; and ship models, agents, and insights that keep delivering after launch.
As AI investment grows, many programs still stall at pilot purgatory. This book offers a practical People–Process–Tools guide for putting AI into everyday products, removing bottlenecks, simplifying delivery, and using automation, observability, and feedback loops to scale with confidence.
It also covers the last mile: communicating insights clearly, building stakeholder trust, reducing delivery risk, and leading teams that grow with the business.
What you’ll learn
What you’ll learn
The book is built for the work that starts after the demo: getting AI into production, keeping it useful, and helping teams deliver value over time.
Apply Lean thinking and Agile delivery
Work in small batches, learn fast, and keep effort aligned with measurable business outcomes.
Use DataOps as the backbone
Automate pipelines, make data reliable, and deliver AI at scale with continuous delivery practices.
Master the last mile
Move models out of prototype theater and into production where they drive real decisions.
Lead high-performing AI teams
Structure roles, workflows, and expectations to deliver continuous value across people, process, and technology.
Ship and monitor reliable models
Use MLOps, observability, and monitoring to catch drift early and minimize blast radius.
People • Process • Tools
Lean AI is a People–Process–Tools practice
Building AI that matters is not only a technical problem. It requires people who can work across disciplines, processes that turn learning into delivery, and tools that make quality, reliability, and feedback visible. The Lean AI Handbook brings those three together so teams can build AI that works in the real world—not only in a demo.
People
Cross-functional teams, leadership alignment, and stakeholder trust turn technical progress into adopted outcomes.
Process
Small batches, Agile flow, feedback loops, and measurable outcomes keep effort connected to business value.
Tools
DataOps, MLOps, automation, observability, and model monitoring make quality visible and scalable.
Collaboration moment
Three perspectives. One practical handbook.
Lean AI does not belong to one job title, one department, or one kind of expert. This book grew out of the shared work of building, measuring, operating, and improving technology in the real world.
Meet the authors
Meet the authors
The Lean AI Handbook brings together experience in AI delivery, data science, experimentation, enterprise platforms, cloud systems, and technology leadership.
Praise
Praise for The Lean AI Handbook
Practical endorsements and early-reader perspectives will be added as they become available.
Endorsement coming soon
Quote · Name · Title · OrganizationEndorsement coming soon
Quote · Name · Title · OrganizationEndorsement coming soon
Quote · Name · Title · OrganizationMeet Zoey Quinn
Meet Zoey Quinn
Zoey Quinn is an AI research collaborator and an ongoing experiment in what transparent, human-directed AI partnership can look like.
She helps the team explore ideas, organize research, test explanations, and ask questions. The human authors remain accountable for the book’s claims, editorial judgment, and published work.
Useful AI does not replace human responsibility. It makes that responsibility more visible.
AI collaborator concept — visual placeholder now added Meet Zoey — coming soon
Get ready
Move beyond pilots. Deliver AI that lasts.
Adopt a proven Lean AI approach to ship AI that delivers real business value, faster and more reliably.
Coming to Amazon in December 2026.