Slackbot isn’t just another standalone agent – it works where your teams already collaborate. Because it lives directly inside Slack, it can use your organisation’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 summarise files and threads, surface insights, draft content and answer questions based on information that 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 points.

Slackbot understands the structure of your workspace – channels, teams, roles and the type of work that you do. Its responses are personalised to your context, your tone and the information that you have permission to see. This ensures that 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 organisation’s permissions and access controls, meaning it will only surface information that 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 that 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 that 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 that you use in Slack.