Agents become teammates with Agentforce in Slack. Powered by relevant conversations in Slack and your trusted enterprise data, Agentforce will suggest and take action right in the flow of work.
Work alongside agents in Slack as they suggest and execute actions on your behalf. As employees discover new agents and their skill sets, they can seamlessly interact with them in channels, DMs, and threads.
Slack Agent Templates make it easier to deploy tailored solutions, offering guided setup on topics and actions onboarding, support, and customer insights. Customize as needed, connect your data, and bring digital teammates to life.
Conversational data makes agents more contextually relevant. Tap into your organization’s public conversation data in Slack — and connected third-party apps through enterprise search — for more precise, powerful agents.
Give your agents the ability to create or update canvases, channels, send a DM and more in Slack! You can then set rules around which actions to take and what conditions to take them under — meaning they’ll only work with the guardrails you set to keep them on track.
Provide automated employee support and services for onboarding, benefits and personalized career guidance.
Address issues as they arise, like resolving help desk tickets and running incident communications.
Identify experts, surface historical knowledge and swarm cases to solve customer issues.
Prepare executive briefings, create proposals, and proactively reach out to customers.
Work with agents to optimize campaigns, generate content, create plans and more.
Simplify and automate regulatory and compliance processes and approvals with agents.
Bring more agility to teams as agents help plan, design, develop and ensure quality.
Manage suppliers, automate warehouse operations, enhance demand forecasting and more.
"We've developed IT support agents for a client to manage tier-one questions in a Slack channel, reducing the volume of human touchpoints and increasing the overall speed to resolution."
Stephanie SadowskiSenior Managing Director and Lead of Salesforce Business Group, Accenture
At Writer, we understand that embedding agents in the flow of work will transform employee productivity. Slack's conversational data combined with structured, enterprise data adds context that makes agents more intelligent, and better at taking action.
Kevin ChungChief Strategy Officer, Writer
You go to a single, conversational interface in Slack and you can interact with humans and AI. Agents are doing the work, and we’ve dreamt of that for decades in computing, and now we’re finally seeing it.
Aaron LevieCEO, Box
Looking to learn about all the ways you can boost productivity with Agentforce in Slack? Talk to an expert about building out your agent strategy.
An AI agent is an intelligent system that can handle customer questions all on its own, no humans needed. It uses machine learning and natural language processing (NLP) to tackle everything from easy questions to tricky problems, and it can even juggle multiple tasks at once. AI agents can learn and get better over time, which is different from traditional AI that needs humans to step in for certain tasks. AI agents can take action on the behalf of employees.
Agentforce is a suite of customizable agents and tools seamlessly integrated with your data and apps. Agents are a new type of software capable of performing work with varying degrees of autonomy. An agent executes work by searching for relevant data, analyzing this data to formulate a plan, and then actioning the plan. This process can be entirely independent or may involve interactions and handoffs with employees. Agent Builder is the no-code solution used to build, manage and customize agents for any business department in minutes.
With Agentforce in Slack, you can surface custom agents right into your flow of work. In Slack, you can engage with Agentforce just like another teammate. Agentforce’s responses will be grounded in both your conversational data from Slack and your CRM data from Salesforce – giving you all the context you need to support employees, assist customers, close deals, and move projects to the finish line.
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.
You can access Agentforce in Slack with both an Agentforce and a Slack license. Talk to an expert to learn more.
1 Source: Slack Customer Survey, 2024
2 Source: McKinsey, “The state of AI in early 2024: Gen AI adoption spikes and starts to generate value,” 2024
3 Source: MIT Sloan School of Management, “Tapping into the power of unstructured data” Tam Harbert, 2021
? Source: Deloitte LaborWise, “A powerful lens for unlocking hidden sources of labor overspend”
? Source: Harvard Business School, “Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality,” 2024
? Source: McKinsey Global Institute, “The economic potential of generative AI: The next productivity frontier,” 2023
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