BusinessFriday, September 11, 2026· 2 min read

Slack’s AI Can Now Build Interactive Reports Right Inside Chats

Source: The Verge AI

TL;DR

Slackforce Surfaces lets teams create dashboards, polls, presentations, and interactive reports simply by describing what they need to Slackbot. By pulling context from chats and connected tools like Google Drive and Salesforce, the feature could make workplace collaboration faster and more visual.

Key Takeaways

  • 1Slack is adding AI-powered “Surfaces” that generate interactive work tools inside chats.
  • 2Users can ask Slackbot to build reports, dashboards, polls, presentations, microsites, and more.
  • 3The AI can gather relevant information from Slack conversations and connected business apps.
  • 4Generated Surfaces can be shared, pinned to channels, commented on, and used collaboratively.

Slack is turning workplace chat into a more powerful creation space. Its new Slackforce Surfaces feature allows users to describe what they need to Slackbot, which can then generate interactive reports, polls, dashboards, presentations, microsites, and other tools directly inside a Slack conversation.

The big productivity win is context. Slackbot can draw on relevant conversations and connected apps such as Google Drive or Salesforce, helping teams transform scattered workplace knowledge into something structured, visual, and actionable without leaving the chat.

Why it matters

Instead of switching between multiple tools to collect data, design a report, and share updates, teams can create lightweight interactive assets where collaboration is already happening. Once created, a Surface can be shared with colleagues, pinned to channels, viewed, interacted with, and commented on by teammates.

  • Faster reporting: Teams can generate useful visual summaries with a simple prompt.
  • Better collaboration: Interactive assets live inside the same channels where decisions happen.
  • Lower friction: Non-technical users can create dashboards and tools without coding expertise.

While this is an enterprise productivity feature rather than a scientific breakthrough, it shows how AI assistants are becoming practical builders embedded in everyday workflows—helping people turn ideas and workplace data into useful shared tools.

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