From Prototypes to Production: A 90-Day Playbook for Shipping Enterprise AI
暫譯: 從原型到正式環境：90 天交付企業 AI 實戰指南

Freese, Luise

From Prototypes to Production: A 90-Day Playbook for Shipping Enterprise AI

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商品描述

Across industries, organizations are investing heavily in AI--building impressive prototypes, validating use cases, and demonstrating clear technical potential. Yet many of these initiatives never make it beyond the proof-of-concept stage. This book tackles this widespread challenge head-on, revealing why successful demos so often fail to translate into production systems. The book shifts the focus away from models alone and toward the broader ecosystem required to operationalize AI--data ownership, governance, compliance, infrastructure, and long-term accountability. Its core objective is to help readers bridge the gap between experimentation and execution by understanding the structural and organizational barriers that stall progress.

Structured as a practical guide, the book walks readers through a clear and actionable journey. It begins by defining the concept of "Proof of Concept prison" and diagnosing the root causes behind stalled AI initiatives, followed by a strategic reset that reframes how organizations should approach AI. At the heart of the book is a hands-on 90-day roadmap for building an AI operating model--from assembling the right team and laying foundational infrastructure, to productizing use cases, making go-live decisions, and scaling responsibly. The final sections focus on sustaining success through governance, change management, and adoption, while also addressing common pitfalls that lead teams back into the POC cycle. Rather than celebrating prototypes, this book equips readers with the mindset and tools needed to build AI systems that are resilient, scalable, and ready for real-world impact.

What You Will Learn:

  • Recognize early warning signs that AI initiatives will remain demos rather than become production systems
  • Design AI initiatives backwards from production by defining operational requirements, data dependencies, governance, and accountability early
  • Use a practical 90-day execution model to move selected lighthouse use cases into controlled production
  • Turn promising AI experiments into systems that integrate with real business processes, existing platforms, and enterprise governance structures
  • Avoid common scaling traps such as fragile data pipelines, innovation theatre, unclear ownership, and prototypes that cannot be operated, monitored, or maintained long term

Who This Book Is For:

Technology leaders, architects, product owners, transformation leaders, and AI practitioners responsible for turning AI prototypes and proofs of concept into reliable production systems

商品描述(中文翻譯)

各行各業的組織都投入大量資源發展 AI——打造令人印象深刻的原型、驗證 use case，並展示明確的技術潛力。然而，許多這類計畫始終無法超越概念驗證（Proof of Concept，POC）階段。本書正面處理這項普遍存在的挑戰，揭示為何成功的示範往往無法轉化為正式上線的系統。本書將焦點從單一模型移向讓 AI 能夠落地運作所需的完整生態系，包括資料所有權、治理、法規遵循、基礎架構，以及長期問責機制。本書的核心目標，是協助讀者了解阻礙進展的結構性與組織性障礙，進而跨越實驗與執行之間的落差。

本書以實務指南的形式編排，帶領讀者踏上一段清晰且可執行的旅程。內容首先定義「概念驗證牢籠」（Proof of Concept prison）的概念，並診斷 AI 計畫停滯背後的根本原因；接著透過策略重整，重新思考組織應如何推動 AI。全書的核心是一套為期 90 天、實作導向的 AI 營運模式（AI operating model）藍圖——從組建適當的團隊、奠定基礎架構，到將 use case 產品化、做出正式上線決策，以及負責任地擴展規模。最後幾章聚焦於透過治理、變革管理與採用來維持成功，同時處理導致團隊再次陷入 POC 循環的常見陷阱。本書不只是歌頌原型，而是提供讀者建立具備韌性、可擴展性，並能真正產生實務影響之 AI 系統所需的思維與工具。

你將學到：

• 辨識 AI 計畫將停留在示範階段、而非成為正式上線系統的早期警訊
• 從正式上線的需求反向設計 AI 計畫，及早定義營運需求、資料相依性、治理與問責機制
• 運用實務導向的 90 天執行模式，將選定的指標性 use case 導入受控的正式環境
• 將具潛力的 AI 實驗轉化為能與實際業務流程、既有平台及企業治理架構整合的系統
• 避免常見的擴展陷阱，例如脆弱的資料管線、創新作秀（innovation theatre）、權責不清，以及無法長期營運、監控或維護的原型

本書適合：

負責將 AI 原型與概念驗證轉化為可靠正式上線系統的技術主管、架構師、產品負責人、數位轉型領導者與 AI 實務工作者

作者簡介

Luise Freese is an independent Azure and Power Platform architect based in Germany. Her work focuses on AI-enabled systems, business applications, and automation that survive real-world enterprise conditions. She helps teams build accessible apps, robust data models, and automation that respects governance, compliance, and human effort. A recurring theme in her work is making the invisible visible: unmeasured work, emotional load, operational friction, and the real cost of "quick wins". Her motto "Changing the world one app at a time" stems from her extensive work with non-profit organizations.

Alongside client work, Luise writes and speaks about productivity myths, pseudo-agile practices, AI readiness, and why many digital initiatives fail long before technology becomes the problem. She is known for combining clear technical guidance with a sharp eye for organizational patterns, and for asking the uncomfortable questions others tend to avoid.

When not working and traveling, Luise is a runner, a mother of (teenage) dragons, a LEGO-builder, and a lover of the number 42. Her favorite color is #ff69b4.

作者簡介(中文翻譯)

Luise Freese 是一位常駐德國的獨立 Azure 與 Power Platform 架構師。她專注於打造採用 AI 的系統、商務應用程式，以及能在真實企業環境中長期運作的自動化方案。她協助團隊建立具無障礙性的應用程式、穩健的資料模型，以及兼顧治理、法規遵循與人力投入的自動化流程。她的工作一再聚焦於讓隱形事物浮現：未經衡量的工作、情緒負荷、營運摩擦，以及「快速見效」的真正成本。她的座右銘「一次打造一個應用程式，改變這個世界」，源自她長期與非營利組織合作的經驗。

除了客戶專案之外，Luise 也撰寫文章並發表演講，主題涵蓋生產力迷思、偽敏捷實務、AI 準備度，以及許多數位計畫為何在技術成為問題之前就已經失敗。她以能將清晰的技術指引與對組織模式的敏銳洞察結合而聞名，也以敢於提出他人往往刻意迴避的棘手問題著稱。

不工作和旅行時，Luise 是一名跑者、一位養育「青少年龍」的母親、一名 LEGO 建構愛好者，也是數字 42 的愛好者。她最喜歡的顏色是 #ff69b4。

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