AI, on one page.

What it is, where it bites, what it costs, who signs, and where it sits in bakery.

1
Ask what goes in and what comes out. If nobody can say, there is no project yet.
2
Most of the value is in simple models you can explain in a sentence.
3
The only score that counts is on data the model never saw. Ask for it.
4
Fluent is not the same as true. Keep a person wherever the answer must be exact.
5
Know what a false alarm costs and what a miss costs. The threshold is your decision, not the vendor’s.
6
Autonomy is earned from the logs, one notch at a time. Start with a person on nearly everything.

Where it sits in bakery

Step	What the AI does	Lands in	Ask
Order Where it bites	Predicts each store’s order from its history.	Suggested orders for each store	How did it do on a month it never saw, and on a new store?
Plan bakes A simple model	Sets how many of each item to bake from day of week, weather and holidays.	The daily production plan	What goes in, and who can override it the night before?
Package The assistant	Answers allergen and ingredient questions from the recipe files.	Draft label text and answers to customers	Who signs every label, and is the assistant ever the last word?
Deliver Who signs	Confirms standing orders automatically; changes above a set size go to a person.	Delivery routes and order confirmations	How large a change can it confirm without a person?
Waste The price of wrong	Decides when to mark down what has not sold.	Prices at the point of sale	What does a markdown cost you against an unsold loaf?

The three questions that settle any AI pitch

1
What goes in, and what comes out?
No clear answer, no project. Yet.
2
How did it score on data it had never seen, and on how many rows?
The demo score is the student marking their own exam.
3
What does a wrong answer cost, and who signs the ones it gets to make alone?
The threshold and the autonomy are your decisions, not the vendor’s.

Illustrative examples, not client results. Nydros · nydros.com/learn/brief?industry=bakery