Overview

Mise en Place for AI offers a practical way to approach data and AI work with care, discipline, and clarity. Using the familiar discipline of a professional kitchen, this book shows how trustworthy AI begins long before any model is trained. It begins with preparation. With clean data, clear roles, careful documentation, and steady routines. Rather than focusing on algorithms or complex theory, this guide centres on the everyday practices that determine whether AI systems behave in ways people can trust. Data sourcing, cleaning, provenance, evaluation, and monitoring are treated as deliberate acts, not technical afterthoughts. Written for real workplaces, this book provides checklists, templates, and clear explanations that teams can use immediately. It is designed for organisations that want a calm structure rather than rushed experimentation, and responsibility instead of guesswork. Whether you work in data, compliance, leadership, or governance, Mise en Place for AI offers a steady way to build systems you can stand behind, explain, and defend.

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