
If you’ve ever worked on a team project, you’ve probably bumped into Miro. It’s that giant digital whiteboard where teams get together to brainstorm, map out ideas, and plan projects. They’ve recently added Miro AI to the mix, a set of tools meant to make all that creative work a little easier, right on the board.
This guide will walk you through what Miro AI can do, where it really shines, and where it falls short, especially for teams that handle customer support or manage a lot of internal knowledge. We’ll look at its main features and see how it compares to tools built specifically for automation.
So, what is Miro AI?
Miro AI, sometimes called Miro Assist, is an AI helper built right into your Miro board. Its main job is to help you generate, summarize, and organize content without having to switch tabs. Think of it as a creative sidekick that can handle some of the tedious tasks that come with brainstorming and project planning.
For example, it can spit out ideas from a simple prompt, group related sticky notes into themes, build out mind maps, and even create diagrams or code blocks. The idea is to get you from a blank canvas to a structured plan much faster. It’s important to remember, though, that Miro AI pretty much only works with what’s on the Miro board, and that’s both its biggest strength and its main weakness.
Key features and strengths of Miro AI
Miro AI is at its best when you use it for what it was made for: making visual collaboration smoother and more efficient. Based on what users are saying and a bit of hands-on testing, here are the spots where it really helps.
Jumpstart your brainstorming sessions with Miro AI
One of the most useful things Miro AI can do is get a brainstorming session going. You can start with a central idea in a mind map, ask the AI to generate related topics or questions, and you’ll have a full map in seconds. It’s a visual, free-flowing way to ideate that often feels more natural than the back-and-forth of a chatbot.
It can also fill a board with sticky notes based on a prompt like, "What are some good ideas for our next team-building event?" This gives your team a starting point to work from instead of a blank screen. It’s a nice way to get the ball rolling without any awkward silence.
Bring order to the chaos with Miro AI
After a good brainstorm, a Miro board can look like a disaster zone of ideas. This is where Miro AI really tidies things up. Its clustering feature can automatically group sticky notes by keywords or themes, helping you spot patterns right away. A hands-on comparison between Miro and FigJam’s AI found Miro’s clustering to be quite good, turning a messy board into clean categories without much effort.
It can also give you a quick summary of the whole board or just one section. This is super handy for writing up meeting notes or project updates without having to read through every single sticky note again.
Create visuals with Miro AI without the manual work
Miro AI isn’t just for text. It can automatically generate different kinds of diagrams, like flowcharts and sequence diagrams, just from a text description. This helps teams map out processes and workflows way faster than drawing them out by hand. There’s also an image generation feature, so you can create custom visuals for your boards, which adds a nice touch to presentations and workshops. For teams that do a lot of visual planning, this saves a bunch of time that would otherwise be spent building diagrams from scratch or hunting for the right stock photo.
The limitations of Miro AI for business workflows
While Miro AI is a clever creative tool, its focus on the visual board means it’s not the right fit for teams needing to automate customer-facing or internal support tasks. Its design comes with a few key drawbacks.
Miro AI is stuck inside the Miro board
Miro AI’s functions are almost completely contained within Miro. It works with the text and images on the board, and that’s about it. It isn’t built to be a customer support agent, an internal helpdesk bot, or a knowledge tool that works in other apps.
If your company’s knowledge is stored in a help center, Confluence, or old support tickets, Miro AI can’t get to it to find answers. It’s a tool for collaboration, not a central brain for your company. This makes it great for planning a project but not for actually running automated workflows that depend on data from other places.
Miro AI doesn’t really connect with support tools
Miro can display cards from tools like Jira or Asana, but its AI can’t do anything meaningful inside them. It can’t resolve a Zendesk ticket, triage a conversation in Intercom, or create a ticket in Jira Service Management with the right custom fields.
It’s just not designed for the action-based work that support and IT teams do every day. It can help you map out a support workflow on a board, but it can’t actually run that workflow in your help desk. This is a major gap that makes it a non-starter for any team trying to automate ticket handling or internal requests.
There’s no way to test Miro AI before you go live
For a brainstorming session, you can just turn the AI on and see what you get. But for something like customer support, you need to be sure it works before you unleash it on real customers. Miro AI has no "simulation mode" where you can see how it would have handled your last thousand support tickets. You can’t get a predictable ROI or resolution rate before you launch.
That lack of a safety net means you’d be flying blind, which is a risk most support and ops teams simply can’t take.
A better Miro AI alternative for support and knowledge: eesel AI
The shortcomings of Miro AI show why you need a tool built specifically for support and knowledge automation. This is exactly where a platform like eesel AI comes in, because it was designed from day one to tackle these problems.
Connect to all your knowledge, not just one board
Unlike Miro AI, eesel AI plugs into all your different knowledge sources. You can train it on your past Zendesk tickets, your Confluence wiki, your Google Docs, and your public help center. This turns it into a single source of truth that can give accurate, relevant answers. And it delivers that knowledge right where your teams and customers need it:
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In your help desk, drafting replies for agents.
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On your website, as a customer-facing chatbot.
Automate actions, not just ideas
eesel AI does more than just generate text. Its workflow engine can be customized to take action in your other tools. For instance, it can automatically:
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Triage and tag new tickets in Freshdesk.
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Look up order information from Shopify using an API.
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Escalate tricky issues to the right person based on what the ticket says.
This kind of integration allows for real automation, cutting down on manual work for support agents and getting issues solved faster.
Pro Tip: With eesel AI, you can build custom AI personas and set up specific actions without needing a developer. This gives you full control over how your automation works.
Test everything first, then roll it out
One of the biggest differences with eesel AI is its simulation mode. Before you turn your AI agent on, you can run it against thousands of your past support tickets. This gives you a clear forecast of how it will perform, including its resolution rate and how much money it could save you. You can then roll it out slowly, maybe starting with just one type of ticket, and expand as you get more comfortable. It’s a risk-free way to get started that general tools like Miro AI just can’t provide.
Feature | Miro AI | eesel AI |
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Primary Use Case | Visual brainstorming & collaboration | Customer & internal support automation |
Knowledge Sources | Content on the Miro board | Help desks, wikis, docs, past tickets |
Key Function | Generate, summarize & organize ideas | Answer questions, triage tickets, take actions |
Integrations | Displays info from other tools | Deep, two-way integration (e.g., Zendesk, Slack) |
Testing | No simulation mode | Powerful simulation on historical tickets |
Ideal User | Project managers, creative teams | Support, IT, and Ops teams |
Miro AI: Choose the right AI for the job
Miro AI is a genuinely helpful assistant for anyone who spends their day in Miro. It’s great at speeding up brainstorming, tidying up messy boards, and helping teams visualize their ideas more quickly.
But its abilities are designed to stay on the Miro canvas. If your team is looking to automate customer support, build a dependable internal knowledge base, or plug AI deep into your help desk, you’ll need a specialized tool. Platforms built for support automation give you the deep integrations, actionable workflows, and solid testing features you need to handle important business tasks reliably.
Go from brainstorming to automated resolution with eesel AI
If you’re looking to take what you’ve planned on that Miro board and actually automate it, eesel AI offers a powerful, self-serve solution. Connect your tools in minutes, train an AI on your company’s real knowledge and past tickets, and even simulate its performance before going live
Start your free trial today or book a demo to see how eesel AI can help your support operations.
Frequently asked questions
Miro AI is excellent for visualizing and planning a workflow on a board. However, it can’t perform the automation in your other tools, like resolving a ticket in Zendesk, which is what a dedicated platform like eesel AI is built for.
No, it cannot. Miro AI is limited to the content present on the Miro board itself and isn’t designed to connect to external knowledge bases like Confluence or a help center to pull in answers.
Miro AI is best used for internal planning and brainstorming rather than live ticket automation. It cannot connect to your help desk to take actions or access past ticket data, which are essential functions for effective support automation.
Miro AI has a clustering feature that can automatically group sticky notes by theme or keyword. This helps you quickly identify patterns and organize a chaotic board into neat, logical categories with a single click.
For project managers, its best features are automatically creating diagrams like flowcharts from text descriptions and summarizing entire boards into concise notes. These features can save significant time on documentation and creating project updates.