A practical guide to Slack AI use in apps (2025)

Let's be real: your team's Slack is probably a chaotic mix of urgent tasks, project updates, and way too many Giphy memes. It’s where work gets done, sure, but it’s also where important info goes to die. Finding that one specific document or answer feels like a digital scavenger hunt, and the constant context switching is exhausting.

The good news is that AI is starting to clean up this mess, turning that conversational chaos into something genuinely useful. Both Slack's own features and a whole new world of third-party apps are using AI to handle repetitive tasks, dig up information, and basically give you back your day.

This guide is a no-fluff look at how AI is being used in Slack right now. We'll cover what the built-in tools can do, where they trip up, and how other apps are filling in the gaps. By the end, you'll have a much clearer idea of what to look for in an AI tool for your team.

Understanding the basics of Slack AI use in apps

First off, "Slack AI" isn't just one product. It’s more of an umbrella term for two different approaches, and knowing the difference will save you a headache later on.

1. Native Slack AI: These are the AI features that Slack built directly into its own platform. They’re designed to scan the conversations and files that are already floating around in your workspace to help you work a bit more efficiently. You'll find them on Slack's paid plans.

2. Third-Party AI Apps: This is the massive, ever-growing collection of apps you can grab from the Slack Marketplace. These are built by other companies (like Notion, Asana, or specialized AI platforms) and they bring their own AI smarts into your workspace, usually by connecting Slack to the other tools you use.

The key difference is pretty simple: native Slack AI works on the data you already have in Slack, while third-party apps often build a bridge between Slack and another platform. As for security, Slack states its native AI doesn't train on your data. With third-party apps, Slack does review them, but it’s always a good idea to spend a minute checking an app's privacy policy before you hit install.

Native Slack AI: Features and pricing

Slack's own AI tools are all about making your day-to-day life inside the app a little less frantic. They focus on fixing common annoyances, like information overload and the pain of catching up after a day off.

Core native features

• Conversation Summaries: You know the feeling, you come back to a channel with hundreds of unread messages. AI summaries give you the short version of a long channel or thread in seconds. It’s perfect for getting up to speed on a project or just surviving a fast-moving discussion.

• AI-Powered Search: This is a big improvement over the old keyword search. You can ask a normal question like, "what was the final decision on the Q3 marketing budget?" and the AI will actually try to find a direct answer by looking through messages and files.

• Daily Recaps: Instead of scrolling through ten different channels every morning, this feature pulls together a personalized digest of the most important conversations you might have missed. It helps you figure out what to tackle first.

• Workflow Automation: Slack AI can also help you build simple automations without needing to code. For example, you could tell it to automatically create a task in a project channel every time a message gets a specific emoji reaction.

• Upcoming Slackbot: Slack has also announced a big upgrade for Slackbot. The plan is to turn it from a simple reminder tool into a proper AI assistant that can help with things like drafting plans or scheduling meetings.

Pricing and availability

It's worth noting that these AI features aren't part of Slack's free plan. They're available as a paid add-on for teams on the Pro, Business+, or Enterprise Grid plans. The pricing is $10 per user, per month, tacked on top of your current subscription.

As for what you get, on the Pro plan, you'll have access to conversation summaries and huddle notes. If you're on a Business+ or Enterprise Grid plan, you unlock the whole suite: AI-powered search, daily recaps, file summaries, language translations, and AI workflow generation. The top-tier Enterprise Grid plan also gets exclusive access to Enterprise Search.

Limitations of a Slack-only approach

While Slack's native AI is a decent starting point for individual productivity, it has some pretty big blind spots when it comes to solving larger business problems.

• It’s stuck in a bubble: The biggest issue is that Slack's native AI only knows what's inside Slack. It has zero clue about your helpdesk tickets in Zendesk or Jira Service Management, your detailed guides in Confluence, or your process docs in Google Docs. This means it can only give you part of the story, making it useless for answering complex questions that need info from outside of Slack.

• No room for customization: Slack’s AI is a take-it-or-leave-it deal. You can’t tweak its personality to match your brand, tell it what tone of voice to use, or give it instructions for handling specific questions. It can't perform custom tasks like looking up an order status or triaging a support ticket.

• You can't ease into it: There’s no way to test or simulate how Slack's AI will behave before you roll it out to everyone. You just flip a switch and cross your fingers, which is a bit of a gamble, especially if you're thinking of using it with customers.

Expanding capabilities with third-party apps

This is where the huge Slack Marketplace comes into play. It’s filled with apps that fix the "stuck in a bubble" problem by connecting Slack to all the other software your business depends on.

The AI app category is blowing up, and the tools generally fit into a few buckets:

• Project Management (e.g., Asana, ClickUp): These apps are great for turning talk into action. They use AI to create tasks from messages, summarize project updates, and send automated reminders, all without making you leave Slack.

• Customer Support & ITSM (e.g., ClearFeed, Rootly): These are built to bring some order to support requests that come in through Slack. They can turn a casual message into a formal ticket, suggest replies based on similar past issues, and help your team manage incidents.

• Knowledge Management (e.g., Notion AI, Glean): These apps connect to your company's "brain." You can ask questions in Slack and get answers pulled directly from your external wikis and documents, which saves everyone from constantly hunting for information.

But this leads to a new kind of problem: app overload. These integrations are useful, but they often work in their own little worlds. You can easily end up with one AI for project management, another for your wiki, and a third for your helpdesk. Suddenly, you have multiple "AI brains" that don't talk to each other, which kind of defeats the purpose of having a central hub.

This is where a solution like eesel AI comes in. Instead of just adding another tool to the pile, it works by pulling all of your knowledge sources together. Slack conversations, helpdesk tickets, and all your company docs get unified into a single, smart AI that you can use anywhere, including right inside Slack for internal questions.

An AI chatbot in Slack, a third-party app, providing instant answers to enhance Slack AI use in apps.

What to look for in a Slack AI solution

When you start exploring AI solutions for Slack, it's easy to get wowed by fancy features. But to find a tool that will actually move the needle, you have to ask the right questions.

How much control do you have?

A lot of AI tools are all-or-nothing. You turn them on, and they just start trying to answer everything, which can get messy if the AI isn't quite ready. The best tools give you fine-tuned control.

This is where a tool like eesel AI really shines. It doesn't just give you an on/off switch. Instead, you get a workflow engine that lets you decide exactly what the AI should tackle and what should go straight to a person. You can start small, letting it handle one or two simple topics, and then broaden its responsibilities as you get more comfortable with how it performs.

A workflow diagram showing how eesel AI gives you control over your Slack AI use in apps.

Connected knowledge sources

An AI is only as smart as the information you give it. An AI that only knows what's in Slack is a handy assistant. But an AI that also knows about your thousands of past Zendesk tickets, your detailed product guides in Confluence, and your internal process docs is a true expert.

That’s the whole idea behind eesel AI. It was built from the ground up to connect all of your scattered knowledge. It can dig through your support ticket history to learn your brand's voice and common fixes, and it hooks right into all your wikis and documents. This creates one single source of truth for the AI to learn from.

A screenshot showing eesel AI's bot training interface, connecting to various knowledge sources for effective Slack AI use in apps.

Can you test before you trust?

Unleashing an AI on your team, or worse, your customers, without testing it first is just asking for trouble. How do you know it will give accurate, on-brand answers and not just make things up?

This is why eesel AI includes a simulation mode. It's a standout feature that lets you test-drive your AI in a safe environment using your own past conversations. You can see precisely how it would have replied to real questions, giving you a solid forecast of its performance and resolution rate before you let it talk to anyone. It’s about building confidence, not just hoping for the best.

The eesel AI simulation mode, allowing teams to test their Slack AI use in apps before deployment.

Setup simplicity

Many powerful AI tools look great in a demo, but they hide a secret: a long, painful setup process. They often require mandatory sales calls, lengthy onboarding sessions, and sometimes even a developer to get everything working.

We think getting started with AI should be way easier. That’s why eesel AI is built to be self-serve. You can sign up, connect your helpdesk with a click, and have a functioning AI assistant ready to go in minutes, not months. While consulting is available if you need it, the platform is designed to be simple enough for you to manage on your own.

A flowchart demonstrating the simple, self-serve setup process for this tool for Slack AI use in apps.

The future of Slack AI is unified

Slack is clearly shifting from a chat app to an AI-powered hub for work. The built-in AI features are a great first step for making individuals more productive, and the third-party apps offer powerful ways to connect Slack to the rest of your tech stack.

But the best approach isn’t just about piling on more disconnected apps. The real breakthrough comes from unifying all of your company's knowledge into a single brain that works wherever your team does. It's about finding a tool that plugs into your existing workflows, learns from all your data, and gives you the control you need to use it well.

Ready to unify your knowledge?

Stop juggling different AI tools and trying to keep scattered information in sync. eesel AI plugs directly into Slack, your helpdesk, and all of your documents to create a single, powerful AI agent for your entire team.

You can simulate its performance on your own historical data and see the potential impact for yourself. Best of all, you can get started in minutes.

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