Slack data across channels, threads, canvases and conversations compliments and enriches your connected, enterprise data sources, resulting in more effective agent responses and actions.

Every Slack workspace is a wealth of institutional knowledge — it’s the long-term memory bank of your company. For AI to be useful, it needs access to data, not just the data in one app or system, but across all your systems, including the unstructured data in team conversations. This contextual data is the key to high-quality, relevant AI outputs and adjusting to new contextual clues in real time.

Every company’s untapped, unstructured data — including user-generated content, natural language text, audio and video files, and more — enhances agent reasoning and decisioning for better relevance. When you add agents to Slack, customers can give them permission to tap into the public conversational data in your organization's Slack instance, making them precise and powerful. Because your data is never our product, customers control what data agents can access in Slack. We never train any LLMs on customer data; instead, we use advanced Retrieval-Augmented Generation (RAG) techniques on the unstructured conversational data to give agents the context they need, just at the moment they need it, to support their human counterparts.

There are three types of agents and assistants that you can use in Slack:

1. Agentforce: Powered by the most relevant conversational data in Slack and your trusted enterprise data, Agentforce suggests and automates actions on your behalf. Build custom agents that bring agentic productivity to employees right in the flow of work. From human resources to IT, services and sales, and beyond, Agentforce can take actions in Slack like creating and updating channels, lists, and canvases. Agentforce in Slack will be available soon; talk to sales to learn more.

2. Your custom-built AI Assistants brought to the Slack platform: Right from a dedicated UI in Slack, you can embed AI Assistants that you build using purpose-built APIs. You can build these custom AI Assistants to work the same way you do, so you can offload tasks — from tickets to requests and more — and focus on the important work that needs to get done. These APIs are available today in the Slack Developer Center.

3. Third-party AI Assistants: Talk to third-party AI Assistants to get help with drafting content, surfacing market research, or retrieving and summarizing files. Today we have several out-of-the-box AI apps ready to use and download from the Slack Marketplace, such as Adobe Express and Cohere.

For third-party AI Assistants, Slack provides guidelines and/or reviews on quality and security before these are published to the Slack Marketplace. Companies building third-party AI Assistants for the Slack Marketplace must agree to abide by Slack’s app guidelines, which include prohibitions on using customer Slack data to train LLMs, and require companies to share important security and compliance details about their apps. Additionally, Slack owners and admins can control which agent apps can be added to their workspaces.

Salesforce’s Einstein Trust Layer was built to help you safely deploy AI across your business. For every Agentforce interaction, the Einstein Trust Layer is working behind the scenes to protect the privacy and security of your data and to promote the safety and accuracy of every response.

1 Source: Deloitte LaborWise, “A powerful lens for unlocking hidden sources of labor overspend”
2 Source: Harvard Business School, “Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality,” 2024
3 Source: McKinsey Global Institute, “The economic potential of generative AI: The next productivity frontier,” 2023

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