A Slack conversation shows a user asking Slackbot to create an executive briefing. Slackbot is shown "Querying Salesforce Channels."

Meet Slackbot, intelligently designed for the agentic era.

Slackbot is your personal agent for work in Slack, delivering personalized answers and helping you take action using context from Slack and Salesforce.

Trusted by top teams:

Slalom logo
reMarkable logo
Mercari logo
Engine logo
Xero logo

What is Slackbot?

Slackbot is an AI agent that works alongside you in Slack. Unlike generic chatbots, it understands your work, with the full context of your organization's Slack data and trusted Salesforce data and metadata, giving you personalized support. Slackbot lives in your flow of work, helping you find anything quickly, stay organized, take action, and create and refine content in a way that feels natural to you.

Personalized AI, right where you work

Slackbot drives instant answers, insights, and actions from your permissioned conversations, files, and projects in Slack - and Salesforce data. Find just what you need, right where you need it, with Slackbot.

Most AI tools don’t really know how you work. Slackbot does. It learns from your permissioned Slack conversations and adapts to your voice, tone, and style, while also using Salesforce records to add real business context. The result is help that is personal, relevant, and grounded in your actual work.

Slackbot AI using context to answer a question

Slackbot gives you more than answers; it helps you move work forward. It can pull up account details, check deal statuses, and surface customer insights from Salesforce right within Slack. And when it’s time to act, Slackbot can analyze complex files, draft updates, prep next steps, or help you decide who to loop in — all without breaking your flow.

A screenshot of a Slack conversation where a user named Lisa asks Slackbot to analyze a file. Slackbot is currently "Analyzing file."

Slackbot just works. There’s no setup or training required — simply start a conversation in Slack. It’s intuitive, conversational, and easy to use, so anyone can get value right away using natural language, without changing how they already work.

A screenshot of a Slack conversation where a user named Lisa asks Slackbot to analyze a file. Slackbot is currently "Analyzing file."

As your team of specialized Agentforce and third-party agents grows, Slackbot becomes the single orchestrator for getting work done. Instead of trying to find the right agent for the job, Slackbot understands your request and hands tasks off seamlessly, all through natural conversation.

A Slack conversation where "Matt Brewer" asks "Slackbot" for help, and "Slackbot" connects an "Agentforce Incident Agent" to assist.
Slackbot AI using context to answer a question
A screenshot of a Slack conversation where a user named Lisa asks Slackbot to analyze a file. Slackbot is currently "Analyzing file."
A screenshot of a Slack conversation where a user named Lisa asks Slackbot to analyze a file. Slackbot is currently "Analyzing file."
A Slack conversation where "Matt Brewer" asks "Slackbot" for help, and "Slackbot" connects an "Agentforce Incident Agent" to assist.

Slackbot unlocks employee productivity.

3 x
increase in revenue per employee with AI exposure¹
25 %
faster task completion with AI²
4.8 x
higher growth in productivity with AI exposure³

Every answer, every action — one ask away.

Slackbot turns simple prompts into powerful action, saving you time and effort.

“Find that discussion about the Q4 budget.”

“Tell me about Project Phoenix.”

“Where’s the customer metrics presentation that Sarah shared?”

A Slack conversation shows a user asking Slackbot to resolve a case. Slackbot is shown "Querying Salesforce Case objects" and provides a multi-step resolution strategy.

“What does my day look like?”

“Help me prep for my 1:1 with my manager.”

“Find a 30-minute slot when our team is free.”

A Slack conversation where "Steven" asks Slackbot to find availability and draft an agenda. Slackbot shows "Checking calendar availability" and "Writing Q4 Discussion agenda.

“Draft an update for my manager and add it to a canvas.”

“Get me up to speed on Project Acme.”

“Create a retrospective from our last sprint.”

A Slack conversation where a user asks Slackbot to "Create an executive briefing." Slackbot is querying Salesforce Channels for "Key highlights" and data.

“What are the three most important points in this file?”

“Summarize yesterday’s all-hands deck.”

A screenshot of Slack shows a user named Lisa asking Slackbot to "Analyze the latest market research from this file." Slackbot is shown "Analyzing file."
A Slack conversation shows a user asking Slackbot to resolve a case. Slackbot is shown "Querying Salesforce Case objects" and provides a multi-step resolution strategy.
A Slack conversation where "Steven" asks Slackbot to find availability and draft an agenda. Slackbot shows "Checking calendar availability" and "Writing Q4 Discussion agenda.
A Slack conversation where a user asks Slackbot to "Create an executive briefing." Slackbot is querying Salesforce Channels for "Key highlights" and data.
A screenshot of Slack shows a user named Lisa asking Slackbot to "Analyze the latest market research from this file." Slackbot is shown "Analyzing file."
An illustration of a Slackbot message stating, "Only visible to you. Let's see what you can action on!" and "Searching your permissioned files and messages."

Slackbot knows your work, and keeps it secure.

Slackbot understands your role and the structure of your workspace, surfacing only the information you’re permitted to access. Your interactions remain private to you and aren’t visible to anyone else. Your data is never used to train large language models, and every request is handled in a way that keeps your organization’s information safe and compliant.

Engine logo

Our teams use Slackbot for everything from quick analytics to creating canvases. Using the summary feature alone likely saves 15 to 20 minutes per use, preventing dropped balls.”

Mollie Bodensteiner
SVP of Ops, Engine
Slalom logo

Instead of switching between multiple applications and windows and losing my train of thought, I can ask Slackbot questions, have it conduct research and create content without ever leaving Slack/the place I am working all day.”

Christine McHone
Global Enterprise TMT Leader, Slalom
Xero logo

Because so much of our work happens in Slack, Slackbot already understands our world. I don’t have to write a long brief to get it up to speed on what we’ve been working on or how the team operates; it just gets the context from day one.”

Megan Harrigan
Director of Global CX Projects & Readiness, Xero

Slackbot FAQs

Slackbot can distill complex, lengthy content, including channel conversations, individual threads, connected app data, and uploaded files like quarterly reports and research documents. This accelerates knowledge assimilation and decision-making.

Slackbot helps you focus by giving you personalized updates on your work, so you can spend less time getting caught up and more time on impactful work.

Yes, Slackbot is excellent for content creation. It helps you instantly create polished, personalized drafts for briefs, proposals, announcements, and updates, adapting to your team’s style and your specific tone.

You can use Slackbot across many professional tasks. This includes reviewing quarterly reports, summarizing research documents, condensing meeting notes, and accelerating the drafting process for important communications.

Slackbot’s AI search capabilities can span beyond just Slack messages, including your team’s Salesforce data. Depending on your configuration, it can integrate with and search through connected enterprise tools, providing contextual answers from multiple sources.

Slackbot runs entirely within Slack’s trusted boundary and follows the same security practices and compliance standards that customers expect from Slack itself. It respects your organization’s permissions and access controls, meaning it will only surface information you are already allowed to view.

No. Customer data is never used to train large language models. LLM providers do not have access to customer data and the models are run within Slack’s virtual private cloud infrastructure, ensuring that your data stays within Slack’s secure environment.