Bring AI Agents Into Slack

Connect Queue to Slack to automate updates, respond to messages, and bring AI agents directly into your team's conversations.

Slack is where work happens for many teams. Product discussions, customer escalations, deployment notifications, support requests, and project updates often flow through channels long before they reach other systems.

By connecting Slack to Queue, you can give agents access to those conversations and automate workflows directly where your team already works.

In this guide, we'll walk through how to set up the Slack integration and explore some of the most common use cases.

Step 1: Connect Slack

Start by navigating to Integrations in your Queue workspace.

Select Slack from the available integrations and click Connect Workspace. You'll be prompted to authorize Queue through Slack's OAuth flow.

Once connected, you'll be able to choose which workspaces and channels Queue can access.

For security and privacy, we recommend only granting access to the channels agents actually need.

Step 2: Configure agent permissions

After connecting Slack, you can assign the integration to one or more agents.

Depending on your configuration, agents can:

• Read messages

• Post messages

• Respond to threads

• Monitor channels

• Trigger workflows from Slack events

• Send notifications and summaries

Permissions can be managed individually for each agent.

Step 3: Build your first workflow

One of the simplest workflows is a daily standup summary.

Create an agent that monitors a specific channel throughout the day and generates a concise summary every afternoon. Team members no longer need to scroll through hundreds of messages to understand what happened.

Other popular workflows include:

• Support ticket triage

• Incident summaries

• Deployment notifications

• Meeting recaps

• Customer feedback collection

• Internal knowledge assistants

Using agents inside Slack

Once connected, agents can participate directly in conversations.

For example, team members can ask an agent to summarize a discussion, answer questions using company knowledge, gather information from external systems, or perform actions across connected tools.

Because agents have access to integrations, they can go beyond answering questions and actually execute work.

This transforms Slack from a communication tool into a control layer for AI-powered workflows.

Best practices

When getting started, begin with low-risk workflows such as summaries, notifications, and information retrieval.

As confidence grows, expand into more advanced use cases involving automation and task execution.

It's also a good idea to clearly communicate where agents are operating so team members understand when AI systems are participating in conversations.

Transparency builds trust and helps teams get the most value from automation.

What's next

The Slack integration is one of the most popular ways to bring Queue into day-to-day operations.

Once connected, agents can monitor conversations, automate repetitive work, surface important information, and help teams move faster without changing existing workflows.

If your team already lives in Slack, it's one of the fastest ways to start putting AI agents to work.