AI, on one page.

What it is, where it bites, what it costs, who signs, and where it sits in people & hr.

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 people & hr

Step	What the AI does	Lands in	Ask
Source The assistant	Drafts job posts and outreach messages.	Drafts in the job boards and email	Who reads every post before it goes live?
Screen Where it bites	Ranks applicants by how much they look like past hires.	The shortlist in applicant tracking	How does it perform on applicants unlike the people you hired before?
Offer A simple model	Suggests a pay range from role, level and market data.	The offer range	What goes in, and who reviews the range?
Onboard Who signs	Resolves routine new-starter requests and routes the rest to a person.	The help desk	What can it resolve alone, and how fast does it hand over?
Retain The price of wrong	Flags people who may be about to leave.	Retention conversations	What does a retention offer cost against losing that person?

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=people