Teach AI Your Company: How to Turn Knowledge Trapped in Your Company into Enterprise Value

About this book

Your AI is brilliant. It just doesn't know your company. Most AI initiatives disappoint for the same reason: the knowledge that makes the business work has never been written down. That knowledge includes how you price, which rules bend and which never do, what "good" looks like, and how your best people spot an exception before it becomes a problem. It lives in people's heads, where AI can't use it and the company doesn't truly own it. Victor Cheng calls this tacit debt. It blocks AI's return on investment, keeps founders and key employees stuck doing work only they know how to do, and makes a company harder to scale, govern, and sell. Teach AI Your Company shows you how to pay down that debt. It isn't a prompt manual. It's a management guide for teaching AI the way your company works, testing what the AI produces, and deciding how much authority it gets. You'll learn how to: Capture the judgment, exceptions, and quality standards your company depends on Turn that knowledge into workflows without automating work AI should not touch Choose the right first workflow, and move from one-off chats to repeatable work with measurable results Put guardrails around AI before a mistake reaches a customer Give AI more autonomy only after testing shows it's ready Measure what AI really returns, including the investment required before the payoff Build the playbooks, scorecards, and records that prove to a board or buyer that the company runs without depending on its founder or key people No coding. No hype. For CEOs building the company, the boards overseeing it, and the institutional investors underwriting its value. The AI tools are available to everyone. Your company's knowledge isn't. Turn that knowledge into enterprise value a buyer can see, verify, and pay for.

Details

Format

Paperback

ISBN-13

9780984183555

Publisher

Innovation Press

Published

October 12, 2026

Pages

246

Weight

11.8 oz

Subject

Business & Economics