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FREE Kindle eBook: Teach AI Your Company: How to Turn Knowledge Trapped in Your Company into Enterprise Value
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FREE Kindle eBook: Teach AI Your Company: How to Turn Knowledge Trapped in Your Company into Enterprise Value
https://www.amazon.com/dp/B0HLPPCW9F
Promo available for free until 10/21 11:59PM PST.
> EDIT: due to strong demand, this promotion is extended til Friday 10/23
eBook description:
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.
About the author. Victor Cheng has spent close to thirty years advising technology-company CEOs, boards, and investors. Since 2021, his clients' exits have totaled more than $300 million. A former McKinsey consultant, he wrote Extreme Revenue Growth and the bestselling Case Interview Secrets (100,000+ copies). He uses this book's method to teach AI his own company.
https://www.amazon.com/dp/B0HLPPCW9F
https://www.amazon.com/dp/B0HLPPCW9F
Promo available for free until 10/21 11:59PM PST.
> EDIT: due to strong demand, this promotion is extended til Friday 10/23
eBook description:
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.
About the author. Victor Cheng has spent close to thirty years advising technology-company CEOs, boards, and investors. Since 2021, his clients' exits have totaled more than $300 million. A former McKinsey consultant, he wrote Extreme Revenue Growth and the bestselling Case Interview Secrets (100,000+ copies). He uses this book's method to teach AI his own company.
https://www.amazon.com/dp/B0HLPPCW9F
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About the Poster
FREE Kindle eBook: Teach AI Your Company: How to Turn Knowledge Trapped in Your Company into Enterprise Value
https://www.amazon.com/dp/B0HLPPCW9F
Promo available for free until 10/21 11:59PM PST.
> EDIT: due to strong demand, this promotion is extended til Friday 10/23
eBook description:
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.
About the author. Victor Cheng has spent close to thirty years advising technology-company CEOs, boards, and investors. Since 2021, his clients' exits have totaled more than $300 million. A former McKinsey consultant, he wrote Extreme Revenue Growth and the bestselling Case Interview Secrets (100,000+ copies). He uses this book's method to teach AI his own company.
https://www.amazon.com/dp/B0HLPPCW9F
https://www.amazon.com/dp/B0HLPPCW9F
Promo available for free until 10/21 11:59PM PST.
> EDIT: due to strong demand, this promotion is extended til Friday 10/23
eBook description:
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.
About the author. Victor Cheng has spent close to thirty years advising technology-company CEOs, boards, and investors. Since 2021, his clients' exits have totaled more than $300 million. A former McKinsey consultant, he wrote Extreme Revenue Growth and the bestselling Case Interview Secrets (100,000+ copies). He uses this book's method to teach AI his own company.
https://www.amazon.com/dp/B0HLPPCW9F
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