Miro added AI agents to its online whiteboard and taught them to understand team context

Miro added AI agents to its visual workspace that work directly on a shared board and use all the canvas content as ready-made context. Instead of manually copying notes, diagrams, and documents into chat, teams can launch AI right where discussion is already happening and immediately transform brainstorm chaos into a structured result.

How it works

In January 2026, Miro launched AI Workflows — a set of tools embedded directly into the canvas where teams already conduct workshops, planning, and product discussions. The key idea is that AI no longer needs separate explanation of board content: it sees sticky notes, diagrams, tables, images, documents, and even spatial relationships between elements. For teams, this removes one of the most frustrating barriers in working with generative tools, when valuable logic is lost when moving from a visual environment to a plain text prompt.

The first component of the system is called Sidekicks. These are conversational AI agents that live on the board itself and understand the multimodal context around them. They can be customized for a specific function or domain of knowledge, so a product team and, for example, a marketing team can have different assistants with different specializations.

The second component is Flows: multi-step visual scenarios where AI executes a sequence of actions, and a person can intervene at any stage, correct the course of the process, and verify the result.

Against this backdrop, Miro references its own research: 75% of global business leaders believe that most AI tools are too focused on individual work, and 82% want solutions that boost specifically team productivity.

Scenarios for teams

The strongest scenario for Miro is transforming unstructured collective input into understandable work artifacts. Instead of manually sorting through hundreds of sticky notes and notes after a session, teams can entrust this to the AI layer inside the board.

Miro brings logic familiar to almost any knowledge worker: discussion arises in a chaotic visual environment, and at the output you usually need already formalized documents, decisions, and presentations. Now this transition can be done without constantly switching between services.

• Clustering notes from user research by topics and assembling a summary with insights
• Turning brainstorm into a prioritized roadmap or draft product brief
• Exporting architectural diagrams and wireframes to Figma through the new prototype export feature
• Connecting boards to AI coding tools through a beta version of an MCP server compatible with Cursor, Claude Code, and GitHub Copilot
• Generating presentations from board content through AI Slides and engaging meeting participants through Miro Engage

Miro separately emphasizes scenarios for engineering teams. If a coding agent gains access to the architecture already assembled on the canvas, then code can be generated not in isolation from the original intent, but based on the visual design of the system.

According to the company, early users reduce innovation work cycles from weeks to hours, and some teams' aggregate delivery costs fall by more than 50%. The platform is already used by companies like PepsiCo, ASOS, and Deloitte, so we're talking not just about demos but about real corporate cases.

Price and Miro's strategy

Miro's free plan remains: it provides unlimited team members, three editable boards, and basic canvas capabilities. The starter tier costs $8 per user per month with annual billing and opens unlimited boards with basic integrations. The main innovation is Business + AI Workflows at $20 per user per month: for new customers this is already the baseline business level, which includes 50 AI credits per person, full access to Sidekicks and Flows, SSO, guest editing, and advanced admin settings.

Enterprise plans already have 100 credits, plus add data residency, SCIM and SIEM integrations.

At the same time, Miro is clearly not making a point launch of a feature, but rather a broader strategic bet. In March 2026, the company acquired Reforge — a well-known educational platform for product and growth teams, and also announced a new hub in Singapore to accelerate growth in Asia. The logic is transparent: Miro wants not just to sell AI features, but to become a center where companies learn to think collectively, make decisions, and get ideas to execution faster.

But there is a limitation: for teams that work primarily in text, spreadsheets, or IDE, a visual canvas will remain a less natural environment, even if agents have appeared inside it.

What this means

The first wave of corporate AI accelerated the work of one person: write text, make a summary, generate code. Miro is betting on the next phase — tools that understand the team's overall context and help synchronously transform collective discussion into ready artifacts.

If this model takes hold, an online whiteboard will stop being just a place for sticky notes and become a full-fledged operational environment for team collaboration with AI.