These skills can be triggered with simple prompts inside Slack. Once activated, Slackbot can pull relevant information from messages, connected applications, and company data sources to complete tasks such as building plans or coordinating follow-ups. In one example shared by the company, a request to prepare a budget could prompt Slackbot to assemble the necessary inputs and schedule a meeting with appropriate team members automatically.
Slackbot is also being positioned as a coordination layer across tools. The assistant now acts as a Model Context Protocol (MCP) client, enabling it to connect with external services and Salesforce’s own Agentforce platform. This allows it to route requests or tasks across different systems without requiring manual intervention, selecting what Salesforce describes as the most efficient path for completing work.
Additional updates focus on productivity features. Slackbot can now transcribe meetings and generate summaries, including identifying action items for participants. The assistant can also operate beyond Slack itself, drawing on activity such as conversations, calendar data, and other work signals to suggest next steps or draft responses. Salesforce says users can control how much data the system accesses through built-in permissions.
The update reflects Salesforce’s broader effort to reposition Slack as more than a messaging tool. By embedding automation and task execution directly into the platform, the company is aiming to make Slack a central hub for coordinating day-to-day business operations.
Benioff highlighted Slack’s growth during the announcement, noting the platform now supports around one million businesses and has delivered significant revenue expansion since Salesforce acquired it five years ago.
This analysis is based on reporting from TechCrunch.
Image courtesy of Unsplash.
This article was generated with AI assistance and reviewed for accuracy and quality.
