Team asks questions where they already work
Instead of switching tools, anyone mentions the employee in the channel and gets an answer grounded in company knowledge.
Slack Channel
Bring your AI employee into Slack as a real bot user your team can mention, DM, or trigger with a slash command. Every reply lands in the same thread, and memory, tasks, skills, and tools stay shared with web chat, so a conversation started on Slack continues anywhere else. You approve or reject requests right from Slack, and the bot only speaks when mentioned, DM'd, or already in a thread.
Bring your AI employees into the place your team already talks. Once connected, you can message an employee in a direct message or mention them in any channel they have been added to, and they respond right there in the thread.
Work that starts in Slack stays in Slack. Ask for a report in your marketing channel, request a data pull in your ops channel, or DM your assistant a quick task between meetings. The employee answers in context, and the whole team sees the result.
Slack is a window into the same employee you use everywhere else. Memory, training, skills, and guardrails carry over, so a conversation that starts in a channel can continue in the app, over email, or by voice without repeating yourself.
Can an AI Respond in Slack Channels and DMs?
Yes. Sistava employees participate in Slack as genuine members of the conversation. Mention one in a channel to put a question or task in front of it, or open a direct message for one-on-one work. Replies arrive in the thread, keeping discussions tidy and searchable.
Because every teammate can talk to the employee, Slack turns your AI workforce into a shared resource rather than a personal tool. The designer, the founder, and the support lead all pull from the same employee, and the employee keeps every interaction in memory.
Real Work, Not Just Answers
An AI employee in Slack is not limited to chat. It carries its full toolset into the conversation, so a request to pull last week's signups and summarize them triggers actual tool calls, real data, and a finished answer, not a suggestion that you do it yourself.
Longer tasks keep running after the message exchange ends. Delegate something heavy in a thread, and the employee works in the background and reports back when it is done, with artifacts saved to its Drive.
Shared Context Across Your Whole Team
When an employee answers in a public channel, the knowledge it shares becomes visible to everyone there. Decisions stop living in one person's DM history. Ask once, and the answer, the data behind it, and the follow-up discussion all stay available to the team.
Context flows the other direction too. What the employee learns from working with your team in Slack enriches the same memory it uses on every other channel, so the entire workforce gets smarter with every thread.
A Slack Bot vs an AI Employee in Slack
Slack has thousands of bots, and most of them do one thing: respond to a slash command with a canned output. An AI employee is a different category. It reads the conversation, understands what is being asked, chooses the right tools for the job, and writes back like a colleague who actually knows your business.
The difference shows up over time. A bot is the same on day one and day one hundred. An employee accumulates memory of your team's projects, preferences, and history, so its hundredth answer in your workspace is sharper than its first.
Always On, in Every Timezone
A distributed team never has everyone awake at once, but the AI employee is present for all of it. A question asked from Singapore at 3 a.m. your time is answered immediately, not after your morning coffee.
That turns Slack from a message queue into a place where work actually finishes overnight. Delegate at the end of your day, and the thread has results in it before the next standup.
How It Works
Connect Slack once, then mention or DM your employees anywhere in the workspace.
Connect the Slack channel from your workspace settings. Your AI employees become available across the Slack workspace: mention one in any channel it has been added to, or message it directly, and the reply arrives in the same thread.
Messages flow through the same pipeline as every other channel, with the same memory, guardrails, and tools. Work delegated in Slack runs in the background after the exchange ends, and results are posted back to the thread with artifacts saved to the employee's Drive.
Use Cases
Standup data pulled on demand
A quick mention in the morning channel produces yesterday's numbers before the meeting starts.
Founder delegates between meetings
A DM with one line becomes a finished report posted back in the thread an hour later.
Support escalations get instant context
Pasting a customer issue in the escalation channel returns history, suggested replies, and next steps.
Comparison
| Before | After |
|---|---|
| Questions in Slack wait for whoever knows the answer. | The employee answers in the thread within seconds. |
| Slack bots run canned commands. | A full agent with tools, memory, and judgment replies. |
| Context from Slack is lost to other channels. | Slack threads feed the same memory as chat, email, and voice. |
| One person hoards the AI tool license. | Everyone in the workspace shares the same employees. |
FAQ
How do I talk to an AI employee in Slack?
Connect the Slack channel in your workspace settings, then mention the employee in a channel or send it a direct message. It replies in the same thread.
Can multiple teammates use the same AI employee in Slack?
Yes. Anyone in the workspace can mention or DM the employee, and it keeps shared memory of the team's conversations.
Does context carry between Slack and other channels?
Yes. Slack conversations feed the same memory as web chat, email, and voice, so you can move between channels without losing the thread.
Can the AI employee run tasks from Slack, not just answer questions?
Yes. It has access to its full toolset from Slack, so it can search the web, pull data, generate content, and complete delegated tasks, reporting back in the thread.
How is this different from a regular Slack bot?
Bots respond to commands with fixed outputs. An AI employee understands natural conversation, carries memory and training, uses real tools, and operates under your guardrails, in Slack and on every other channel.
Do guardrails and content policies apply in Slack?
Yes. Input safety, output safety, PII protection, and your topic rules run on Slack messages exactly as they do on chat, email, and voice.
Will the employee match my brand voice in Slack?
Yes. The persona you configure applies everywhere the employee speaks, so its Slack replies sound like the same colleague your customers meet in chat or email.
Can it keep working after the Slack conversation ends?
Yes. Delegated tasks continue in the background and the employee posts results back to the thread when finished, with artifacts saved to its Drive.
Where Slack Channel fits
Slack Channel is part of Ways you talk to them.
Chat in the app with live reasoning, speak to your AI voice agent over a call, message on Slack or WhatsApp, send an email, or embed a widget on your website. Every channel connects to the same AI agent with the same memory and capabilities. Switch channels mid-conversation and your employee picks up right where you left off.
- Ways you talk to them: Every channel. One conversation.
Read the guide
More in Channels
- Web Chat: Chat with any AI employee directly in the workspace, with a streaming reply, a live execution timeline showing what it is reading, thinking, and doing, and inline approve/reject buttons when it needs a sensitive action confirmed. It is the default channel: nothing to configure, works on desktop or mobile, and every conversation persists so you can pick it back up later.
- Voice Calls: Voice Calls is a planned channel for speaking to an AI employee out loud and hearing it reply in real time, instead of typing. It is not available yet: there is no voice button in the workspace today, and the feature is paused while the underlying voice flow is redesigned. When it ships, a voice call will run through the same skills, tools, and memory as a typed conversation.
- Connect an Email Provider: Point your own SendGrid, Mailgun, or Postmark inbound-parse webhook at a tenant-scoped endpoint and every email that lands there gets turned into work for an employee. Forward support requests, sales inquiries, or internal approval emails and the employee reads the sender, subject, and body, then acts on it in the background. You get a 202 response immediately; there's no waiting on the request.
- Personal Mailbox: Every employee gets its own email address on the shared Sistava domain the moment you hire it, no setup. Email it directly, CC it on a thread with other people, or forward something over, and it reads and replies within seconds. Free to send from, with a monthly cap by plan. Control the shared employee signature in Company Profile, or connect your own Gmail or Outlook when you want it sending as you, with no cap.
- Send from Gmail or Outlook: The built-in employee address is free and always on, but it sends as the employee, not as you. Connect your own Gmail or Outlook instead and an employee sends and replies from your real address, in your name, with no monthly sending cap on any plan.
- Talk to Your Employee on Video: In-App Video is a planned channel for live, face to face video calls with an AI employee, camera and microphone, directly inside the workspace. It has no working implementation today: it appears in Settings > Technical > Channels as a Coming soon placeholder only. Once it ships, it is meant to run on the same execution pipeline as every other channel, so the employee keeps its skills, tools, training, and conversation memory on a video call. If you need an employee in a live call today, it can already join a Google Meet, Zoom, or Microsoft Teams meeting as a participant, which is a different capability and available now.
- Chat Widget: The Chat Widget will let you embed an AI employee directly on your public website so visitors can ask questions and get answers without leaving the page. It is on the roadmap and is not available to configure yet: today it appears in Settings > Technical > Channels as a Coming soon placeholder with no setup, embed snippet, or Manage action.
- SMS: SMS is a planned channel for reaching an AI employee by ordinary text message, with no app to install. It is on the roadmap and not available today: there is no SMS number, no inbound texting, and no way to turn it on yet. Until it ships, use web chat or Telegram for mobile access from any phone.
- WhatsApp: WhatsApp is a planned messaging channel for talking with an AI employee from your phone. It is not connected yet: the card shows as coming soon and cannot be set up today. When it ships, it will carry the same employee memory, skills, and guardrails as web chat, Telegram, Slack, and the mailbox. Telegram and Slack are live now and give you the same access from a phone, so nothing you set up today has to be rebuilt when WhatsApp arrives.
- Discord: Discord is a planned channel for bringing an AI employee into the servers and direct messages your community already uses. It will connect the same way Slack does today: authorize a bot through OAuth, then map it to one employee. It is not available to connect yet, so no Discord traffic reaches an employee until it ships. Slack, Telegram, each employee's own email address, and web chat cover the same job in the meantime.
- Calendar Invites: Add your employee's personal address as a guest on any Google, Outlook, or Apple calendar event and they show up for the meeting automatically, no RSVP or extra app on your side. Once the meeting starts, the employee joins the Meet, Zoom, or Teams call, listens, speaks when addressed, and writes a summary afterward. There is nothing to switch on for the invite itself, just turn on the Meeting Attender tool for that employee once.
- Telegram Channel: Connect an AI employee to its own Telegram bot so you can message it from your phone the same way you message a person. It answers direct messages instantly, and joins group chats where it replies only when mentioned or replied to. Memory, tasks, and tools are shared with the web app, so a conversation started on Telegram picks up right where it left off on the desktop, and back again.