Slack introduces Slackforce Surfaces, an AI tool to build interactive reports and dashboards in chat

Slack, the workplace messaging platform owned by Salesforce, announced the rollout of Slackforce Surfaces, a feature that allows users to generate interactive content using natural language. According to a report from The Verge, users can describe to Slackbot what they need—for example, a dashboard, a poll, or a presentation—and the AI will gather relevant information from conversation history and connected apps such as Google Drive and Salesforce to build the requested tool.

Once created, the Surface can be shared with colleagues and pinned to channels. Team members can view, interact with, and leave comments on the content. Slack demonstrated the capability with an arcade-themed visualization of AI token usage.

The feature represents another step in Slack's push to embed AI more deeply into its platform, following earlier introductions of Slack AI for search and conversation summaries. Slackforce Surfaces aims to reduce the need to switch between separate applications for common business tasks like reporting and polling.

Why This Matters

Slackforce Surfaces transforms Slack from a communication tool into a no-code creation platform, potentially reducing reliance on external tools for basic reporting and visualization.
The feature centralises data from multiple sources within Slack, raising questions about data governance, privacy, and the degree of trust placed in AI to correctly compile sensitive information.
As remote and hybrid work persists, tools that streamline collaboration without leaving the chat environment could see rapid adoption—if they work reliably.

Background

Slack is one of the most widely used enterprise messaging platforms, competing primarily with Microsoft Teams. Since its acquisition by Salesforce, the company has been integrating AI across its product suite, including AI-powered search and summarisation features rolled out in 2024. Slackforce Surfaces is the latest such addition, and it extends the concept of “vibe-coding”—using AI to generate code from natural language descriptions—into the realm of enterprise content creation.

Key Perspectives

Slack users and team leads: They stand to gain efficiency by creating dashboards, reports, and polls without leaving Slack or learning specialised tools. However, the quality and accuracy of AI-generated content may vary, requiring human review. IT and security administrators: They may have concerns about how the AI handles access permissions and data from connected apps. Ensuring that internal data is not exposed to unauthorised users will be critical. Competitors (e.g., Microsoft Teams, Notion): Rival platforms are likely to accelerate similar AI-powered creation features. Slack’s first-mover advantage in this specific area could be short-lived if competitors quickly match or exceed the capability.

What to Watch

User adoption and feedback: Will teams actually use the feature for serious work, or will it remain a novelty?
Security and compliance: Any incident where Slackbot inadvertently surfaces restricted data could trigger backlash.
Feature expansion: How quickly Slack adds support for more third-party app integrations and custom data sources within Surfaces.

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