Most AI initiatives fail. The gap between a "cool demo" and a production-grade system is a chasm that is swallowing most teams and even organizations. Architected Intelligence: Principles for Building AI-First Organizations and Technologies is the map at both the organizational and tactical level to cross this divide. The book offers proven, original frameworks for transforming your ambitions into nuts-and-bolts reality that will remain relevant as the technology evolves.
Drawing on their experience building the world's largest e-commerce accelerator, as well as industry best practices and hard-won lessons from colleagues across the field, authors Jacob Miller and Jeremy Mumford deliver actionable guidance for organizations struggling to turn proofs of concept into production systems.
Architected Intelligence organizes AI success around five comprehensive components that address every implementation stage: impactful output; high-quality input data; effective engineering, optimization, and integration of AI models; create trust through observability; and scale transformation through AI enablement. Leaders and builders learn repeatable processes and enduring principles, like identifying where the greatest opportunities lie at an organizational and project level, and disaggregating trust into its underlying elements.
Along the way, it provides practical implementation roadmaps for both AI as product features and AI for process automation. Readers will discover how to avoid the all-or-nothing trap through incremental development, establish comprehensive and feasible unstructured data governance for organizations of any size, and a tool kit of evaluation methods to know whether your AI systems are performing or pretending. The framework addresses foundational elements necessary to scale AI systems across entire organizations, including infrastructure for developers and strategies for building the right talent and culture to drive sustainable transformation.
Perfect for technical CEOs, CTOs, leaders in data science and AI, directors of engineering, and those responsible for execution, this foundational reference equips decision-makers to establish best practices that deliver lasting results for projects, teams, and organizations.
From the Back Cover
Transform AI ambition into durable results with Architected Intelligence
Architected Intelligence is an actionable guide for leaders responsible for turning AI experimentation into systems that work reliably at scale. Rather than treating AI as a standalone initiative, the book presents a unified framework for designing human-AI systems that align strategy, data, engineering, and organizational execution.
Drawing on years of hands-on experience building and operating AI systems in production, Jacob Miller and Jeremy Mumford introduce a set of principles that apply equally to enterprise transformation and individual AI solutions. The framework spans five dimensions that connect strategy, data, models, trust, and enablement into one buildable system.
Written for technical executives and practitioners, Architected Intelligence offers a clear path forward for organizations navigating rapid change. It provides the mental models needed to build AI systems that continue to perform as the technology landscape evolves.
"Architected Intelligence provides a clear, practical vision for how business leaders and engineers can navigate the AI transformation together. ... This is a great book if you want your mind prepared for What Comes Next."
―ABE GONG, Founder at Katabase and Great Expectations; Operating Advisor at Bessemer Venture Partners
"I've seen too many AI initiatives die in the last mile between a dazzling demo and a dependable workflow. Architected Intelligence gives me a practical architecture to close that gap. If you want AI that ships and scales, this is the guide I'd hand your team."
―JEPSON TAYLOR, Founder and CEO at VEOX; former Chief AI Strategist at Dataiku and DataRobot
"We are entering a remarkable new world shaped by AI systems and increasingly autonomous agents, and the organizations that will thrive are those that build on the right foundation from the start. Architected Intelligence gives you exactly that. The authors bring together disciplines that are too often treated in isolation. They ground agents, data, models, and systems design in a coherent and practical framework that any builder or leader can put to work immediately. Having spent decades at the forefront of enterprise technology, I've seen how the right mental model can change everything. This book gives you that model."
―SHAOWN NANDI, Director of Technology at AWS
About the Author
JACOB MILLER is the Vice President of Data Science at Pattern, the world's largest e-commerce accelerator. He has assisted organizations and leaders implementing AI solutions with demonstrable and immediate benefits.
JEREMY MUMFORD is the Lead AI Engineer at Pattern. He brings together data and software engineering with formal training in databases and data science to build production-ready generative AI systems.
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