THE APEX TIMES
Salesforce says Slack has become an execution layer for both people and AI agents, citing weekly automated actions, large message volumes, and examples from companies using Slack as an operational hub.
Salesforce says the way teams communicate is changing, not by replacing chat, but by turning collaboration channels into places where automated systems can take action. In a new company story, Salesforce describes Slack as a live “execution layer” as AI agents move from early tests into real business workflows, where they can request information and trigger actions while humans coordinate in the same interface.
The company’s headline claim is that Slack is handling 127 million automated actions each week called “MCP tool calls,” with the figure doubling quarter over quarter. MCP, short for Model Context Protocol, is a set of open standards that lets an AI system pull relevant context from software tools and then use that context to perform tasks across different platforms. Salesforce frames this as part of a shift from agents that only chat to agents that can operate in the channels where people already collaborate.
Salesforce also provides examples of how companies are using Slack as the place where work is executed. The company says that, at Anthropic, 65% of all code changes are shipping through Slack. It also says users send one billion messages every day on the Slack platform, underscoring how much activity is concentrated in the same environment where automation is increasingly integrated.
Slack’s role, Salesforce says, is rooted in its origin as a system for coordinating humans and software side by side. Six years after Slack joined Salesforce, the company is using these metrics to position Slack as a bridge between everyday collaboration and agentic workflows, especially as more enterprise systems connect through open protocols such as MCP.
Beyond usage totals, Salesforce highlights specific operational deployments. It points to Rochester Electronics, which it says uses Slack as an “operational command center” where humans and automated workflows work together. According to Salesforce, Rochester has adopted Slackbot and “reusable Skills,” described as prebuilt capabilities that let users generate outputs like executive briefings, prep for customer meetings, and sales performance analysis from within Slack.
Salesforce says Rochester also uses custom Slack workflows to automate routine administrative tasks and to surface critical Salesforce notifications in Slack. The intent, as described by Salesforce, is to reduce daily operational friction, shifting routine updates and follow-ups into automated flows that keep key information close to where teams discuss work.
Salesforce also says Vercel runs its entire company in Slack. The company describes engineering and go-to-market decisions taking place in public channels, and it cites “hundreds of Slack Connect channels” that connect teams with customers and partners directly. In addition, Salesforce claims that employees search Slack more than 250,000 times per month, and that the transparency of those channels helps eliminate more than 70,000 hours of meetings per year.
On the agent side, Salesforce says Vercel uses agents inside Slack. It cites an inbound sales agent that, in Salesforce’s description, lets a single representative handle lead qualification, research, and drafting outreach that would otherwise require a larger team. Salesforce also notes that Vercel is extending this model to software development, calling Vercel a “Slack Code launch partner” as it brings an agent into code channels where teams build together.
Not all details are spelled out in Salesforce’s story. The company does not explain how the 127 million weekly “MCP tool calls” are measured, which customers generate them, or what proportion of Slack usage includes MCP-based automation. It also does not provide time ranges for the metrics beyond the quarter-over-quarter description, nor does it define whether the Anthropic code-change share and other figures reflect specific repositories, time windows, or reporting methods.
For Slack and Salesforce, the next question is how quickly agentic workflows move from targeted pilots into broader deployment across enterprises, especially as these tools become embedded in systems developers and operators already use. What to watch is whether MCP tool-call volume continues to accelerate, how more teams use Slack to coordinate across software stacks, and whether other vendors follow the examples Salesforce highlights in areas like code delivery, sales execution, and day-to-day operations.
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