From the book · How to Bring AI into Your Company
The worksheets of all 17 chapters, editable
As PDFs to fill in on your computer and in Word. I send them in a ZIP, with session 1 of the course, free.
What each one is for
- 1What you buy when you buy AI
To find out which part of the plane is yours in the first task you would give AI. - 2Using is not implementing: which rung your company is on
To find out which rung your company is on and which problem to solve this quarter. - 3Your first case, with an owner and two figures
To find out who owns your first case and which two figures you will measure it with. - 4The cases that work all have the same shape
To find a process in your company with the shape of the four boxes. - 5Stopping in time is a good result too
To write the exit gate for your case today, before you spend anything. - 6What it costs with 500 users, and the 7 questions for the supplier
To know what you are buying before you sign with an AI supplier. - 7All the AI your company already uses, even if nobody decided it
To know what AI your company already uses before deciding anything about it. - 8AI opens the same doors as your employee's keys
To know what the AI would open if you connected it to email and folders tomorrow. - 9The 5 clauses that protect you when you sign
To choose the AI contract you will read first. - 10When AI decides about a person: what already binds you
To find the use of AI in your company that scores or decides about people. - 11Who inspects you tomorrow, and how you win
To know whether you would find in ten minutes what an inspection would ask you for. - 12Make AI show up in the profit and loss account
To find out which whole job to redesign first. - 13If your reviewer never disagrees, the machine decides
To find out whether a person in your company reviews or only signs. - 14The AI training the law asks for, profile by profile
To have a name and a date for each profile. - 15Eighteen minutes a month that hold it all together
To set up the first eighteen-minute debrief. - 16When AI fails: learning without looking for culprits
To write down what is punished and what is learnt when AI fails. - 17What you do on Monday
To find out which doors you can open on Monday and which not.