Miro stopped being a «collaborative whiteboard» and repositioned as AI Innovation Workspace: the place where teams work on AI together rather than each on their own. The thesis, articulated by Miro's CEO at Canvas 25, is direct. AI makes individuals faster, but teams are syncing slower; Miro brings AI to the multiplayer space teams already use. The outcomes show up: PepsiCo cut brief-to-launch from 3 years to 10 months; Xero ships product improvements 60% faster every quarter. That kind of lever.
We deploy it when a client needs to see the system before operating it, but with a new layer. Sidekicks are AI agents that live inside the canvas: they see whatever you select and understand your context. Flows are multi-step flujos where you describe a process («turn these interviews into a sprint plan») and AI orchestrates the output, with a different model per step if you want. Blueprints codify «how we work here» as a replicable system. And MCP wires those visual specs into Cursor, Claude Code or Lovable: what you draw on Miro becomes production-ready code, with two-way sync to keep spec and code aligned.
For us Miro fits two axes at once. As the visual and spatial layer over the documentation, code, and systems a client already has, it orchestrates processes, connects to the development pipeline via MCP, and integrates with the rest of the stack. And as the AI transformation hub for enterprise clients where Miro is already deployed in silos. The conversation is rarely «go buy Miro»: 99% of the Fortune 100 already have it. It's «let's rationalise what you have and build the Sidekicks, Flows and Blueprints your critical processes actually need».