Salesforce Rebuilds Slackbot as AI Agent to Take On Microsoft, Google
SAN FRANCISCO — Salesforce on Tuesday launched a completely rebuilt version of Slackbot, transforming the longtime workplace assistant from a basic notification tool into a full-fledged AI agent that can search enterprise data, draft documents and take action on behalf of employees.
The new Slackbot is now generally available to Business+ and Enterprise+ customers. Powered initially by Anthropic’s Claude model, it represents Salesforce’s most significant bet yet on “agentic AI” — autonomous software agents designed to complete complex tasks alongside human workers. The launch arrives as the company seeks to prove that AI will strengthen its portfolio rather than make core products obsolete amid intensifying competition from Microsoft Copilot and Google’s Gemini offerings.
“Slackbot isn’t just another copilot or AI assistant,” said Parker Harris, Salesforce co-founder and Slack’s chief technology officer. “It’s the front door to the agentic enterprise, powered by Salesforce.”
From Tricycle to Porsche: A Complete Technical Overhaul
Harris acknowledged the dramatic difference between the old and new versions of Slackbot. “The old Slackbot was, you know, a little tricycle, and the new Slackbot is like, you know, a Porsche,” he said in an exclusive interview.
The original Slackbot, dating back to Slack’s early days, relied on simple algorithmic rules to remind users to add colleagues to documents, suggest channel archives or deliver basic notifications. The rebuilt version uses an entirely new architecture centered on a large language model and a sophisticated search engine capable of accessing Salesforce records, Google Drive files, calendar data and years of Slack conversations.
“It’s two different things,” Harris explained. “The old Slackbot was algorithmic and fairly simple. The new Slackbot is brand new — it’s based around an LLM and a very robust search engine, and connections to third-party search engines, third-party enterprise data.”
Salesforce decided to keep the familiar Slackbot name despite the fundamental changes. “People know what Slackbot is, and so we wanted to carry that forward,” Harris said.
Anthropic’s Claude Chosen for Compliance; More Models Planned
The new Slackbot currently runs on Anthropic’s Claude model, a decision driven by compliance requirements. Slack’s commercial service holds FedRAMP Moderate certification to serve U.S. federal government customers, and Harris said Anthropic was “the only provider that could give us a compliant LLM” when development began.
That exclusivity is temporary. Harris confirmed the company will support additional providers this year, specifically praising Google’s Gemini for its performance and cost efficiency. OpenAI remains a possibility as well.
Harris echoed Salesforce CEO Marc Benioff’s view that large language models are becoming commoditized. “You’ve heard Marc talk about LLMs are commodities, that they’re democratized. I call them CPUs,” he said.
On data privacy, Harris was unequivocal: Salesforce does not train any models on customer data. He explained that once information enters an LLM, there is no reliable way to restrict which users can access derived insights, making customer-data training a security risk.
Strong Internal Adoption at Salesforce
Salesforce has been testing the new Slackbot internally for months with its 80,000 employees. Ryan Gavin, Slack’s chief marketing officer, called it “the fastest adopted product in Salesforce history.”
Internal metrics show that two-thirds of employees have tried the tool, with 80% of those users continuing to engage regularly. User satisfaction reached 96% — the highest for any AI feature Slack has released. Employees report saving between two and 20 hours per week.
Adoption spread largely through organic sharing. Within days, employees created a collaborative Canvas titled “The Most Stealable Slackbot Prompts,” which has grown to more than 250 entries. Kate Crotty, principal UX researcher at Salesforce, found that 73% of internal adoption came from social sharing rather than top-down mandates.
Competitive Landscape and Enterprise Use Cases
The launch intensifies Salesforce’s competition with Microsoft and Google in workplace AI. Microsoft has aggressively integrated Copilot across its productivity suite, while Google has pushed Gemini into Workspace applications. By positioning Slackbot as an entry point to broader “agentic” capabilities, Salesforce aims to make Slack the conversational hub for enterprise AI workflows.
Product demonstrations highlighted Slackbot’s ability to synthesize information across disparate sources. In one example, it analyzed customer feedback from a pilot program, incorporating data from multiple enterprise systems to generate executive-ready insights.
Impact on Developers, Users and the Industry
For developers and IT administrators, the new Slackbot offers programmable agentic capabilities that can be connected to existing enterprise data sources without requiring extensive custom development. Users gain a single conversational interface for tasks that previously required switching between multiple applications.
The release underscores a broader industry shift toward AI agents that can act autonomously rather than simply answering questions. By retaining the Slackbot brand, Salesforce is attempting to leverage existing user familiarity while delivering significantly more powerful functionality.
Salesforce’s decision to avoid training on customer data may appeal to privacy-conscious enterprises, particularly in regulated industries, though it could limit the model’s ability to become more specialized over time compared to competitors that pursue secure, permissioned fine-tuning approaches.
What’s Next
Harris said support for additional AI models, including Google’s Gemini, will arrive this year. The company is expected to continue expanding Slackbot’s integration with Salesforce’s Agentforce platform, aiming to create a more comprehensive agentic ecosystem.
Further details on pricing for higher-tier usage, exact model-switching capabilities and additional third-party data connectors are expected in coming months as the product matures beyond its initial general availability.
The rapid internal adoption at Salesforce suggests strong demand for practical AI agents that can deliver measurable time savings. Whether that enthusiasm translates to broad customer uptake will be a key test of Salesforce’s ability to compete in the rapidly evolving workplace AI market.