Who Makes AI Work?

If you’ve rolled out AI tools and are still waiting on results, you’re in good company.

When AI doesn’t deliver, the technology is usually the first thing people blame. In our experience (and the research backs this up), the bigger issue is usually the people around it: who owns AI, who checks its work and who’s been hired to use it well.

We put this guide together with advice from 12 HR, talent and AI leaders who spoke at our AI Summit in October. It’s full of steps you can take with your team this month, plus a few short exercises to help you get started.

What you'll find inside:

A simple way to set up pilots that pay off, starting with the problem you’re solving and how you’ll measure success
Who should own AI at your company (and why HR belongs at the table from day one)
Where expert review fits into your AI workflows, with a quick guide to how much review each task needs
Five interview questions that show how candidates think, plus advice on writing the role and where to look
Ways to keep adoption going after launch, from supporting your managers to measuring the time AI actually saves your team
What to ask an outside AI partner before you sign anything
A 30-day checklist for getting started

Download the guide

Who Makes AI Work?

A practical guide to the people behind AI that delivers

If you’ve rolled out AI tools and are still waiting on results, you’re in good company.

What you'll find inside:

Download the guide