Slackforce Surfaces Lets Slackbot Build Charts and Dashboards From Chat Prompts

Slack's new Surfaces feature turns typed requests to Slackbot into interactive reports, polls, and microsites that pull data from conversations and connected apps like Google Drive and Salesforce.
Slack is adding a feature called Slackforce Surfaces that lets users describe a tool in plain language to Slackbot and get a working interactive artifact back inside the chat. The company says the AI will assemble reports, polls, dashboards, presentations, and microsites by pulling information from relevant conversations and from apps connected to the workspace, including Google Drive and Salesforce. The feature was reported by The Verge and is described as coming to Slack, though the company has not yet given a release date.
The pitch is an extension of the vibe-coding trend, in which users sketch out software with natural-language prompts instead of writing code, but aimed at the office rather than hobby projects. Instead of leaving Slack to open a BI tool or build a slide deck, a user can ask for a dashboard and have it rendered in the same thread where the request was made. That keeps the output next to the discussion that produced it, which is the part Slack appears to be betting on.
Surfaces also signals a deeper push into AI-generated content inside productivity software, a crowded area where Microsoft has been embedding Copilot across Teams and Office and Google has been folding Gemini into Workspace. Slack's parent company Salesforce has its own agent push, and Surfaces is one of the clearest attempts yet to make the chat client itself the place where work products get made, not just discussed. The integration list matters here: a Slackbot that can read Drive files and Salesforce records is drawing on data that already lives in the customer's stack.
The feature raises the usual questions that follow AI-generated summaries and dashboards. If Slackbot pulls from conversations, which messages does it read, and who can see the resulting report? A dashboard built from a private channel could surface numbers to people who were never in that channel, and an AI that misreads a thread could produce a chart that looks authoritative but is wrong. Slack has not detailed permissions, accuracy, or audit controls for Surfaces.
What to watch next is timing and access. Slack has not said when Surfaces will ship, whether it will sit behind a paid plan, or how it will be governed on enterprise workspaces with strict data rules. If the feature works as described, it could shift some routine reporting out of dedicated analytics tools and into chat, but the rollout details will decide whether that happens broadly or only for teams willing to trust Slackbot with their internal data.