At Dreamforce 2026, Salesforce unveiled plans to transform Slack from a messaging app into a hub where employees and AI agents collaborate seamlessly, signalling a new era of shared organisational intelligence.
Salesforce used Dreamforce 2026 to set out a broader ambition for Slack: not just as a workplace messenger, but as the interface through which employees and AI agents carry out day-to-day work. Rob Seaman, the company’s senior vice-president and head of Slack, said the product was becoming the “front door” to Salesforce and, more broadly, the operating layer for the AI era. The message was that Slack should move beyond one-to-one use with chatbots and become a shared environment where teams and AI systems work together in public channels.
That argument rests on scale and context. Seaman said Slack now handles more than 8 billion messages a day between people and AI agents, and that the service has added more than 100,000 customers this year. He also said more than 1.5 million people use Slackbot each month. Salesforce has continued to invest in the platform since buying Slack in 2021 for $27.7 billion, and the company is now positioning the messenger as a repository of organisational memory, where decisions, project history and product debates can be fed back into AI systems. Anthropic’s Boris Cherny said his company also relies heavily on Slack, with Claude embedded in its workflows and much of its coding and product work happening there.
The strategic shift is from private AI use to collaborative AI use. Salesforce argues that many current tools remain “single-player”, meaning only the person prompting the model benefits from the exchange. Slack’s model is intended to be “multiplayer”: employees can see how colleagues use AI, learn from those interactions and turn the resulting outputs into shared corporate knowledge. Salesforce says that approach is spreading beyond technology into sectors such as retail, fintech and automotive, citing customers including Robinhood, Rivian, Intuit and reMarkable.
Salesforce also unveiled a series of features designed to make that idea more practical. Slackbot, which launched earlier this year, is being expanded from a personal assistant into a team-level colleague that can read channel context, summon the right agents and generate documents, presentations and video. The company said Brazilian digital bank Nubank has saved 1 million hours a year using Slackbot, while active Salesforce employees using it are saving about 20 hours a week. Slack also introduced Slackforce Surfaces, a natural-language way to create tailored screens that combine data from Salesforce, Slack and outside services, as well as Slack Code, which lets developers and coding agents draft, review and revise software together in channels.
The company’s wider AIforce strategy links these tools back to Salesforce’s core software. Salesforce said it has built Model Context Protocol servers for products including Sales Cloud, Service Cloud, Agentforce, Data Cloud 360 and Tableau, then turned Slackbot into an MCP client so users can look up customers, amend sales records and complete follow-up work without leaving Slack. Slack is also adding voice interaction, channel-level mentions of Slackbot and a “Surface” tool for building workflow interfaces from prompts. The direction is clear: Salesforce wants Slack to become the place where work, data and AI agents converge, rather than a separate messaging app on the side.
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