Architected Intelligence

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 Most AI initiatives fail. Transform AI potential into organizational results through the Architected Intelligence framework. The gap between a dazzling "cool demo" and a reliable, production-grade system is a chasm that is swallowing teams and entire organizations. Architected Intelligence is your definitive map at both the organizational and tactical levels to cross this divide. Drawing on their experience building the world's largest ecommerce accelerator, authors Jacob Miller and Jeremy Mumford deliver actionable guidance for organizations struggling to turn proofs of concept into production systems. Whether you are competing in the age of AI or looking to establish technology leadership in your sector, this book organizes AI success around a unified framework of five core components:

• Design AI Systems to Deliver Impactful Output
• Power AI with High-Quality Input Data
• Engineer, Optimize, and Integrate AI Models
• Create Trust through Observability
• Scale Transformation through AI Enablement

The book also provides: Practical Roadmaps for Both AI Products and AI Automation: The book provides concrete implementation roadmaps for two of the most critical AI use cases: AI as product features and AI for process automation. Readers leave equipped to avoid the all-or-nothing trap through incremental development and to build systems that perform even as the technology landscape rapidly evolves. A Toolkit for Trust, Unstructured Data Governance, and Evaluation: Readers learn how to disaggregate trust into its underlying elements, establish comprehensive and feasible unstructured data governance for organizations of any size, and apply a full suite of evaluation methods to determine whether AI systems are genuinely performing. Built for Technical Executives and the Engineers Who Implement,Architected Intelligence is perfect for technical CEOs, CTOs, product managers, leaders in data science, directors of engineering, and anyone responsible for execution seeking to understand the wider vision. If you want to lead out on AI, this foundational reference will equip you with the mental models and practical tools needed to build AI systems that ship, scale, and succeed. 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.