Slackbot isn’t just another standalone agent — it works where your teams already collaborate. Because it lives directly inside Slack, it can use your organization’s shared history, files, and conversations to provide relevant, high-quality answers without switching apps or losing context. Slackbot brings AI into the natural flow of work so teams can get value instantly.

Slackbot can summarize files and threads, surface insights, draft content, and answer questions based on information you already have access to in Slack. It’s designed to help with everyday workflows: catching up on projects, preparing briefs or proposals, extracting next steps from long discussions, and translating dense documents into clear takeaways.

Slackbot understands the structure of your workspace — channels, teams, roles, and the type of work you do. Its responses are personalized to your context, your tone, and the information you have permission to see. This ensures answers feel tailored, relevant, and immediately actionable.

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.

Slackbot can only access and reference information you already have permission to see, such as channels you’re in, messages you can read, and files you can open. It cannot see private conversations, files, or channels you do not have access to.

Yes. Slackbot can be used anywhere Slack is available. It also respects your Slack language settings and can generate responses in the language you use in Slack.