Faceup, worked by an AI employee
Not another app for your team to learn, and not a set of rules for you to build. You hire an AI employee, you give it access to your Faceup account, and you ask it for things in Slack or Teams the way you would ask anyone else on the team. There is nothing to map and nothing to maintain.
- Customer Support
- Connects with a key
- 1 ready-made tool
- Asked in Slack or Teams
An illustration of how the conversation reads, not a transcript from a client account.
What Faceup is
FaceUp is an anonymous reporting tool designed for companies and schools, enabling employees and students to safely report issues and misconduct.
You paste in a key from your own Faceup account. It is kept encrypted, and you can withdraw it from inside Faceup whenever you like.
One message in, the work done in Faceup.
- 01
You ask
You message your AI employee in the chat your team already has open, in one sentence, in your own words.
- 02
It works out the step
It decides what the job needs in Faceup. You do not pick anything from a menu or wire anything together.
- 03
It does the work
Signed in to your own Faceup account, inside the access you granted it, doing the thing you asked for.
- 04
It reports back
It tells you what it did, in the same thread. If it could not do something, it says so rather than guessing.
What it can do in Faceup
These are the ready-made tools your AI employee already has in Faceup. It is not limited to them, but it never has to be taught these.
- FaceUp GraphQL Statistics QueryTool to execute a graphql query to retrieve faceup statistics. use when you need to fetch or filter metrics (e.g., by date range or school ids).
You stay the boss of your Faceup account.
Nothing connects until you approve it. You grant access one app at a time, you can take it back the same way, and everything your AI employee does in there is written down where you can see it.
How we handle your data- It signs in to your own Faceup account. You are not moving anything into ours.
- You grant access one app at a time, and you can take it back the same way.
- Everything it does in Faceup is written down, with what it did and when.
- Anything you tell it to check with you first, it checks with you first.
It works in Faceup and the rest of your software in the same job
A real job rarely stays in one place. Reading a message in one app, checking a record in another and writing the result in a third is one request to your AI employee, not three.
Questions people ask about Faceup
- Can an AI employee really work inside Faceup?
- Yes. It signs in to your own Faceup account and works in it the way a new hire would, from the chat your team already has open. Nobody installs anything, and nobody learns a new screen.
- Do I have to move anything out of Faceup?
- No. Nothing moves and nothing is replaced. Your records stay in Faceup, your team carries on in the same screens they used yesterday, and your AI employee works alongside them in there.
- How does it get into my Faceup account?
- You paste in a key from your own Faceup account. It is kept encrypted, and you can withdraw it from inside Faceup whenever you like. You approve it before anything connects, and you can take the access back the same way you gave it.
- What can it actually do in Faceup?
- It has 1 ready-made tool in Faceup today, among them FaceUp GraphQL Statistics Query. The full list is on this page. It is not limited to those, but it never has to be taught them.
- Can it use Faceup and the rest of my software in the same job?
- Yes, and that is usually the point. Reading a message in one app, checking a record in Faceup and writing the result somewhere else is one request to your AI employee, not three separate ones you stitch together.
- Who decides what it is allowed to do in Faceup?
- You do. You grant access one app at a time and can withdraw it at any time, anything you ask it to check with you first it checks with you first, and everything it does in Faceup is written down with what it did and when.