Accelerating Innovation with Miro AI

Executive Summary

Miro AI, launched as part of the AI Innovation Workspace in October 2025, transforms collaborative work by embedding generative intelligence, semantic clustering, and workflow automation directly into the infinite canvas. This evolves static workshops into dynamic, AI-orchestrated innovation cycles, with features like AI Sidekicks and Flows that understand visual context and automate processes.

By integrating LLM-powered ideation, multimodal context understanding (e.g., analyzing boards, images, and notes), and enterprise-grade governance, Miro AI helps organizations:

• Reduce planning and synthesis time by up to 50%
• Accelerate time-to-market by 3.6×
• Save 456+ hours annually per team in facilitation and documentation, based on aggregated user data from cross-functional teams

This case study outlines the product strategy, decisions, trade-offs, user research insights, and outcomes behind Miro AI’s launch and enterprise-scale adoption, drawing from real 2025 updates.

Background & Challenge

Modern teams face chronic collaboration inefficiencies, exacerbated by hybrid work and tool sprawl:

1. High-Friction Manual Processes

Workshops demand heavy orchestration:

• Sticky note clustering
• Retrospective synthesis
• Document writing
• Diagram creation

These slow cycles and introduce inconsistencies, with teams losing 20-30% productivity to manual tasks.

2. Fragmented Tooling & Cognitive Load

Juggling Figma, Confluence, Docs, Jira, and more leads to:

• Lost information