Salesforce Rolls Out Slackbot as an AI Agent
Salesforce is positioning Slackbot as a bridge between the user and other agents— present or future— across an organization.
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[Image source: Chetan Jha/MITSMR Middle East]
California-based software firm Salesforce announced on January 13 the general availability of a revamped version of Slackbot, embedding it as a personal AI agent directly into Slack for enterprise users.
The announcement aligns with its broader ambitions, following the unveiling of Agentforce 360 at Dreamforce last year.
“Slackbot isn’t just another copilot or AI assistant. It’s the front door to the Agentic Enterprise,” said Parker Harris, Co-Founder, Salesforce & Chief Technology Officer, Slack, calling it a crucial step towards the envisioned future of the company and the ecosystem.
While the original AI assistant performed algorithmic tasks such as suggesting channel archives and delivering simple notifications, the updated version will run on a large language model heavy architecture, making it summarise conversations, retrieve files, draft meeting notes, create collaborative canvases, manage calendars, and pull relevant customer data from Salesforce systems.
A key concern clouding enterprise AI adoption has been about trust- can AI be relied upon to complete the sensitive tasks and conduct interactions that are integral to business success? For making AI agents trustworthy for work, it needs to understand the context, collaborators, urgency, and importance.
This is where most AI agents fall short, as they become app-based systems, rather than a unified system, making users constantly switch between tools and start from zero.
“Slackbot already knows you,” the company affirmed.
Salesforce is positioning Slackbot as a bridge between the user and other agents— present or future— across an organization. By coordinating across the channels and agents, Slackbot can help teams work faster and more efficiently.
Salesforce argues Slackbot will flourish when customer conversations demand context. “Standalone models can help you write faster, but they cannot help you decide better. They lack access to the systems that hold your customer history, account details, and business reality,” it said.
By connecting daily conversations with customer context, Slackbot will transform fragmented information into a shared understanding.
The new version of Slackbot will gradually roll out to customers until February 10, 2026.





