- Preface
- Part I — Understanding AI
- Chapter 1 — What AI Actually Is (And Isn't)
- Chapter 2 — How Large Language Models Work
- Chapter 3 — Beyond Text: Vision, Voice, and Multimodal AI
- Chapter 4 — Agents: AI That Acts, Not Just Answers
- Part II — The Business Landscape
- Chapter 5 — AI in Customer Experience
- Chapter 6 — AI in Engineering and Product
- Chapter 7 — AI in Operations and Finance
- Chapter 8 — AI in People and Knowledge Management
- Part III — Making Decisions
- Chapter 9 — Build vs Buy vs Partner
- Chapter 10 — Measuring AI ROI
- Chapter 11 — The AI Team: Who You Need
- Chapter 12 — Vendor Evaluation: Cutting Through the Hype
- Part IV — Risk and Governance
- Chapter 13 — AI Security: What Executives Must Know
- Chapter 14 — Data Privacy and Compliance
- Chapter 15 — Bias, Ethics, and Reputation Risk
- Chapter 16 — The Governance Framework
- Part V — The Road Ahead
- Chapter 17 — What's Coming: 2026–2028
- Chapter 18 — Your 90-Day AI Action Plan
The Executive's AI Playbook
What Your Engineering Team Can't Explain
Written by an engineering leader who builds AI systems at scale, this playbook translates what's really happening behind the hype into decisions you can make today. 18 chapters covering AI fundamentals, business applications, vendor evaluation, security, governance, and your 90-day action plan. No code, no jargon — just clarity.
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About the Book
You're making decisions about AI. Your engineering team explains things in jargon. Vendors tell you what you want to hear. Consultants recycle the same frameworks. None of them have shipped an AI system to production at scale.
This book is different. Written by an Engineering Manager who leads 30+ engineers building AI-powered systems at one of the world's largest digital banks, it translates what's actually happening behind the hype into language you can act on.
"The Executive's AI Playbook" covers the full landscape — from how large language models actually work (no math, no code) to where AI creates real business value, how to make build-vs-buy decisions, measure ROI honestly, evaluate vendors
without getting fooled, and govern AI responsibly.
You'll learn:
- How AI actually works — LLMs, agents, vision, voice — explained through intuition, not equations
- Where AI creates proven ROI today: customer experience, engineering, operations, finance, HR
- The build vs buy vs partner decision framework with real cost analysis
- How to measure AI ROI without falling for vanity metrics
- Who you actually need on your AI team vs what vendors tell you
- How to evaluate AI vendors: red flags, demo tricks, and questions that expose truth
- AI security, data privacy, bias, and compliance — what your legal team needs from you
- A practical governance framework that enables rather than blocks
- A concrete 90-day action plan: audit, pilot, strategy, board deck
18 chapters. No code. No jargon without explanation. Every chapter ends with "Questions to Ask Your Team" — specific questions you can bring to your next meeting.
Written for C-level executives, VPs, directors, and senior managers who make technology adoption decisions. If you want to understand AI deeply enough to lead — without becoming an engineer — this is your book.
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Author
About the Author
aio Incau é Engineering Manager com experiência liderando times de engenharia de software em larga escala. No dia a dia, combina gestão de pessoas com profundidade técnica para entregar produtos que impactam milhões de usuários. Começou a usar Claude Code por curiosidade, virou adepto por produtividade, e escreveu este livro para que outros desenvolvedores não precisem descobrir tudo sozinhos.
Contents
Table of Contents
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