Miro Adds AI Agents Directly to Collaborative Whiteboards

Miro, the visual collaboration platform with 100 million users across 250,000 organizations, has launched AI Workflows, a system of AI agents that operate directly on shared canvases without requiring users to copy content into separate prompts.

The Problem Being Solved

Research cited by Miro found that 75% of business leaders believe AI tools focus too heavily on individual work, while 82% want solutions that drive team productivity. Most AI tools create friction in collaborative processes: teams assemble visual context on a whiteboard, then must manually extract and re-describe that context to AI systems in isolation, losing spatial relationships and nuance in the process.

Core Components: Sidekicks and Flows

AI Workflows consist of two functional elements:

Sidekicks are conversational AI agents embedded directly on the canvas. They access multimodal context—sticky notes, diagrams, documents, images, tables, and spatial relationships—without requiring engineered prompts. Teams can customize Sidekicks with domain-specific skills and knowledge bases, so a product team's version differs from a marketing team's.

Flows are multi-step visual workflows that chain AI actions together while maintaining human intervention points at each stage. A product team might build a Flow that processes user research notes by clustering them by theme, generating summaries, and producing a draft brief—all on the same canvas where the research originated.

According to Miro, early adopters report reducing innovation cycles from weeks to hours with delivery cost reductions exceeding 50%.

Real-World Applications

PepsiCo, ASOS, and Deloitte are using the platform for concrete use cases:

• Product teams: Converting brainstorm sessions into prioritized roadmaps via Flows
• Design teams: Connecting Miro to Figma through prototype export, translating diagrams directly into design files
• Engineering teams: Using Miro's MCP server (beta, built with Anthropic, AWS, GitHub, Google, and Windsurf) to connect boards to coding tools like Cursor and GitHub Copilot, enabling AI-generated code that reflects intended architecture
• Workshop facilitators: Using Miro Engage (beta) to convert passive participants into active contributors
• Presentation generation: New AI Slides feature creates decks from board content

Pricing Structure

Miro's pricing tiers:

• Free: Unlimited team members, three editable boards, core canvas features
• Starter: $8 per member/month (annual billing), unlimited boards, basic integrations
• Business + AI Workflows: $20 per member/month (annual), 50 AI credits per member monthly, full Sidekicks/Flows access, SSO, guest editing, advanced admin controls
• Enterprise: Custom pricing (30-member minimum), 100 AI credits per member monthly, data residency, SCIM provisioning, SIEM integration

Miro holds ISO 27001, ISO 42001 readiness, SOC 2 compliance, and GDPR certification.

Strategic Acquisition: Reforge

In March 2026, Miro acquired Reforge, an education platform focused on product strategy and growth. The acquisition signals Miro's intention to pair AI collaboration tools with frameworks teams need to use them effectively.

Strengths and Limitations

Miro excels for teams requiring visual, collaborative thinking before structured output: product development, strategic planning, service design, and cross-functional alignment. The platform is less suited for primarily text-based workflows, individual writing, or spreadsheet-heavy analysis.

With 250+ integrations, Miro positions itself as a collaboration hub connecting to downstream execution tools rather than attempting to replace them.

What this means

Miro is addressing a genuine gap between individual AI productivity (well-solved) and team AI productivity (historically weak). By embedding context-aware agents directly into the visual space where teams already work, it removes the friction of context switching and manual re-prompting. The $20/member/month pricing places it in direct competition with Notion and Figma team seats, but with a different value proposition. Success will depend on whether the visual-collaboration-first model captures enough of the knowledge work market to justify sustained investment. The MCP server integration with AWS, Anthropic, and others suggests Miro is betting on becoming infrastructure for AI-augmented team thinking.