Slack introduces AI-powered interactive data visualization in chats
Slackbot now creates dynamic reports and dashboards through natural language commands.
1Slack's new AI-powered feature
Slackforce Surfaces enables users to create interactive reports, polls, and dashboards directly within chats. By describing their needs to Slackbot, the AI gathers data from connected apps like Google Drive and Salesforce. This eliminates the need to export data to external tools. The feature can generate various outputs including presentations and microsites.
2How the creation process works
Users simply describe what they need in natural language to Slackbot. The AI then analyzes relevant conversations and connected apps to build the requested tool. For example, one demo showed an arcade-themed visualization of AI token usage across departments. Created surfaces can be shared, pinned to channels, and allow team interaction and comments.
3Team collaboration benefits
Slack's CMO Ryan Gavin emphasizes that this keeps collaboration within existing conversations. Teams can view and act on data visualizations together without switching platforms. The feature maintains data context by working where discussions already happen. Shared surfaces update in real-time as underlying data changes.
4Integration with existing workflows
Surfaces builds on Slack's recent AI upgrades including channel summarization and meeting scheduling. It complements last month's collaborative vibe coding channels. The system only accesses data from apps users have explicitly permitted. This maintains security while expanding functionality within familiar workflows.
5Practical use cases
Possible applications include live customer support queue dashboards and weather-themed financial forecasts. The feature can pull data from multiple connected business apps simultaneously. Slack demonstrated how different departments can visualize shared metrics in customized formats that suit their needs.
6Accessibility and rollout
Slackforce Surfaces will be available to all users, including free accounts with Slackbot enabled. The live data functionality launches in October 2026. This positions Slack as more than just a messaging platform, evolving into an integrated collaboration hub with built-in analytics capabilities.
7Technical implementation
The system uses advanced NLP to interpret user requests and determine required data sources. It then applies generative AI to create appropriate visualizations. Security measures ensure data only comes from authorized apps. The architecture allows for real-time updates as source data changes across platforms.
8Industry impact
This innovation could reduce reliance on standalone BI tools for basic analytics needs. By embedding visualization in communication flows, Slack may change how teams interact with data. The feature demonstrates how AI can enhance rather than replace existing digital workplace ecosystems.