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Salesforce rolls out new Slackbot AI agent as it battles Microsoft and Google in workplace AI

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Salesforce has launched a rebuilt Slackbot AI agent, transforming it from a simple notification tool into a fully powered AI agent capable of searching enterprise data, drafting documents, and taking actions. The new Slackbot, built on a large language model and robust search engine, is now available to Business+ and Enterprise+ customers. This move positions Slack at the center of the agentic AI movement as Salesforce competes with Microsoft and Google in workplace AI.

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Salesforce Rewrites Slackbot: From 'Tricycle' to 'Porsche' AI Agent Evolution

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Salesforce has completely rewritten Slackbot from a simple notification tool into an LLM-based AI agent, achieving record internal adoption, though model selection and data security remain key variables.

  • The new Slackbot is based on Anthropic's Claude model, but will support Google Gemini and possibly OpenAI this year.
  • Among Salesforce's 80,000 employees, two-thirds tried the new Slackbot, 80% continue to use it, and satisfaction is 96%.
  • Employees report saving 2 to 20 hours per week; Beast Industries employees say they save at least 90 minutes daily.
  • Slackbot can access Salesforce records, Google Drive, calendar, and Slack conversation history, and perform tool calls like creating Canvases.
  • Salesforce explicitly does not use customer data for model training, and Slackbot only accesses information the user already has permission to see.
  • Internal adoption is 73% driven by social sharing, not top-down mandates.
Open section navigationComplete Architecture Rewrite: From Algorithm to LLM Leap

Complete Architecture Rewrite: From Algorithm to LLM Leap

Salesforce co-founder and Slack CTO Parker Harris likens the difference between the old and new Slackbot to a 'tricycle' versus a 'Porsche.' The old Slackbot performed simple algorithmic tasks like reminding to add a colleague or archive a channel; the new one is built on a large language model and a powerful search engine, connecting to Salesforce records, Google Drive files, calendar data, and years of Slack conversations. Harris emphasizes they are 'two different things' and the new version is 'brand new.'

Despite the complete architectural change, Salesforce kept the Slackbot brand because 'people know what Slackbot is.'

Model Selection: Starting with Claude, Multi-Model Roadmap

The new Slackbot currently runs on Anthropic's Claude model, primarily due to compliance requirements: Slack's business service needs FedRAMP Moderate certification, and Anthropic was the only vendor able to provide a compliant LLM at the time. However, Harris says they will support more providers this year, including Google Gemini and possibly OpenAI. He quotes CEO Marc Benioff's view that LLMs are becoming commoditized, calling them 'CPUs.'

Internal Testing: Fastest Adopted Product Ever

Salesforce rolled out the new Slackbot internally to all 80,000 employees. Slack CMO Ryan Gavin calls it 'the fastest-adopted product in Salesforce history.' Internal data shows two-thirds of employees tried it, 80% continue to use it, and satisfaction is 96%, the highest of any Slack AI feature. Employees report saving 2 to 20 hours per week.

Adoption was largely organic. Within five days, employees created a Canvas called 'Most Stealable Slackbot Prompts,' which now has over 250 prompts. Principal UX Researcher Kate Crotty found that 73% of internal adoption was driven by social sharing, not top-down mandates.

Capability Showcase: From Data Retrieval to Action Execution

In a product demo, Slackbot demonstrated cross-source information synthesis: analyzing customer feedback, uploading a dashboard image and correlating qualitative and quantitative data, then querying Salesforce to find suitable early-access customers, finally generating a Canvas document and scheduling a meeting. Slack CPO Rob Seaman notes that Canvas creation is an example of 'tool calling,' and more third-party tool calls will be added in the future.

Customer Case: Beast Industries' 90-Minute Savings

Pilot customers include Beast Industries (MrBeast's parent company). CIO Luis Madrigal says deployment was 'one of the easiest,' with the security team quickly approving because Slackbot only accesses information the user already has permission to see. Beast Games marketing lead Sinan reports 'saving at least 90 minutes daily,' and creative lead Spencer calls it 'an assistant that watches things when I'm not there.' Other pilot customers include Slalom, reMarkable, Xero, Mercari, and Engine.

Data Security and Privacy: No Model Training, Permission Isolation

Harris explicitly states that Salesforce does not use customer data to train any models. He explains that if the model learned confidential conversations, there would be no control over who sees the answers. Slackbot only accesses information the user already has permission to see, a design that allowed security teams to approve quickly.

Credibility boundary

This article's information primarily comes from Salesforce official releases and VentureBeat reporting. Internal data is provided by Salesforce, and customer feedback comes from selected pilot users, which may involve selective disclosure. Model roadmap and timelines are planned statements; actual execution may vary.

Insight takeaway

The new Slackbot is a key move by Salesforce in the AI agent space. By completely rewriting the architecture, adopting a multi-model strategy, and enforcing strict data security, Salesforce aims to position Slack as the enterprise AI gateway. Internal metrics are impressive, but external competition (Microsoft, Google) and the commoditization of models will determine long-term success.

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