One answer, not five versions
Everyone gets the same account of how your business does something, drawn from what you trained it on.
How-to — — by Mahmoud Zalt
Add an AI teammate to Slack that answers mentions, handles DMs, and works in the channels you choose. Here is the setup and the etiquette.
There is a difference between adding a bot and adding a teammate. A bot sits in a channel and answers when poked. A teammate knows what your company does, knows what happened last week, and knows which questions it should not answer alone. The install is identical. What you do in the first hour decides which one you end up with.
This walks through the teammate version. Where to put it, how your colleagues should talk to it, what happens when three people ask it different things at once, and the social rules that keep it from becoming the coworker everyone mutes.
With **Sistava**, the thing you add to Slack is an AI Employee you already hired and briefed. It carries a role, a tone, and whatever you trained it on, and Slack simply becomes one of the places it can be reached. That is why it can answer a question in a channel using something you taught it in the dashboard three weeks ago. Same Employee, same memory, different doorway.
In the one channel where the same question gets asked repeatedly. That is the honest answer. Not the general channel, not every channel, and not a dedicated ai-help channel that nobody remembers to open. Put it where the repetitive work already happens and it earns its place in a week.
For most small teams that means one of four places: the inbound leads channel, the customer support channel, the ops channel where things get chased, or the channel where clients are discussed. Pick the one that costs your team the most time on Monday mornings and start there.
Step four is the one people skip and it is the one that decides adoption. If your team does not know what it knows, they will ask it one vague thing, get a vague answer, and never mention it again. One clear introduction message converts more skeptics than any feature.
A mention is public and context-aware. A DM is private and clean. When you mention it in a channel, it reads the surrounding conversation before answering, and everyone sees the reply. When you DM it, nobody else sees the exchange and it starts from what you type plus what it already knows about your business.
Use mentions when the thread is the point: summarize this, draft a reply to this client, tell us what is missing here. Use DMs when you want to think out loud, check something before you say it publicly, or ask a question that would clutter a busy channel. Most teams settle into roughly half and half within two weeks.
The detail worth copying from Marcus is that Robin has one narrow job in one channel plus a private role for its owner. That combination is what makes it feel like a colleague rather than a feature. Nobody at the agency thinks of it as connecting AI to Slack. They think of it as asking Robin.
Yes, and that is the main advantage of putting it in Slack instead of everyone having a private chat window. One AI Employee serves everybody, holds one shared understanding of your business, and gets smarter for the whole team when any one person corrects it. Three people can ask it three different things at the same moment and each gets their own answer.
What it does not do is blur private things into public ones. A DM stays a DM. It will not repeat something you asked privately into a channel where others can see it. The shared part is knowledge about your business, not a transcript of everyone's conversations.
Everyone gets the same account of how your business does something, drawn from what you trained it on.
When one person fixes a wrong assumption, the whole team benefits from the corrected version.
The obvious questions go to the teammate that never gets tired of them instead of your busiest person.
A DM stays between you and it, so you can check something before saying it in front of the team.
Three settings and one habit. Set it to reply only when mentioned. Limit its unprompted posting to scheduled digests. Keep it out of channels where it has no job. The habit is deleting any recurring post nobody has reacted to in two weeks, without sentiment.
The failure mode worth naming honestly is a chatty AI in a busy channel. If it comments on things nobody asked about, people stop reading the channel, and you have made your workspace worse. Quiet by default is not a limitation. It is the correct setting, and it is what makes people happy to keep it around.
There is a second limit to be straight about. An AI teammate in Slack knows what has been typed and what you trained it on. It does not know what was decided on a call, agreed in a hallway, or held in someone's head. When it answers confidently about something that only lives in a phone call, it will be confidently wrong, which is why anything client-facing should still pass a human before it goes out.
| Situation | Best way to ask it | Who sees it |
|---|---|---|
| Catch up on a thread you missed | Mention it inside that thread | The channel |
| Draft a reply to a client message | Mention it in the channel where the message sits | The channel, until someone sends it |
| Check a number before a meeting | Direct message | Only you |
| Ask something you feel silly asking | Direct message | Only you |
| Daily overview of what came in | A scheduled recurring job | The channel you chose |
Start private if the channel discusses clients or money, and public if it is general team work. The AI behaves identically in both. The choice is about who on your team should see its answers, not about what it is capable of.
Yes. It handles parallel conversations without mixing them up, so one person can be getting a draft reply in a channel while another is working through something private in a DM. Each thread keeps its own context.
No. It only sees channels it has been invited to and direct messages sent to it. Conversations between two humans stay invisible to it, and a DM you send it is not shared into any channel.
Set it to respond only when mentioned. That single setting is the difference between a teammate and an interruption, and it still leaves room for scheduled digests that post on their own at a time you pick.
No. Sistava does not charge per seat, so a team of two and a team of twenty pay the same for the same AI Employee. Plans start at 25 per month and what varies is the work it does, not how many colleagues mention it.
Yes, and the same Employee keeps one memory across all of them. Add channels gradually rather than all at once, so you can tell which additions are useful and which are just extra noise.