Teams | Collaboration | Customer Service | Project Management

2025 delivered. Big time. This was the year Miro became the AI Innovation Workspace, where you and your team can work together with AI on one shared canvas. We also celebrated a huge milestone: more than 100 million users worldwide, with 250,000+ companies building on Miro. There’s a lot to cover — from AI that actually gets what you’re working on, to new ways to structure your work, and integrations that keep all your go-to tools in sync.

Every product team knows the feeling: You’ve built something technically impressive. The code is clean. The design is polished. The only problem? Nobody wants it. Just 6% of product features generate 80% of click volume on average. That means the vast majority of what teams build — despite months of effort, countless meetings, and significant investment — ends up as digital dust. Teams are building faster than ever before.

AI has become part of how product teams think, plan, and create. But too often, these experiments happen in isolation — outside the tools and rituals where work actually gets done. The result is acceleration that looks promising in one corner of the organization but stalls when it needs to scale.

As Q4 budget planning hits full stride, IT leaders face a familiar issue: The pressure to do more with less while simultaneously preparing for transformative initiatives like AI adoption. But before rushing to fund the next wave of innovation, there’s a more fundamental question to answer: Is your current tech stack helping or hindering your ability to execute? The answer, for most enterprises, is uncomfortable.

There’s no one way to do great work. Your stakeholders need a timeline while your team uses Kanban. Your workshop needs to land across languages. Your work lives in more than one tool. AI is accelerating all of this. Everyone’s figuring out how AI fits into their workflow — experimenting with new ways to create, collaborate, and use existing context. Which means your tools need to bend, not lock you in. This month’s updates give you the flexibility to get great done, your way.

We also just crossed 7,000 published Miroverse templates—a massive thank you to each and every one of you who made it happen. Ready to see what’s new and unlock your team’s potential? Thinking about publishing your first template? Submit today to share your frameworks with over 100M users around the world.

Almost every IT leader I talk to is chasing AI. And they should be — Miro’s own survey of 8,000 people across six global markets shows that 63% of employees are already using it. But here’s the problem: Most companies risk watching their AI productivity gains vanish when they bolt AI onto systems already buckling under too many tools. This is a clear fork-in-the-road moment.

When Miro’s new AI Flows and Sidekicks features began to take shape, Voltage Control — a long-time Miro Solutions Partner and facilitation academy based in Austin, Texas — saw an opportunity to explore something bigger than functionality. That curiosity sparked a deep collaboration between Miro’s Product and Customer Marketing teams and Voltage Control’s facilitation experts.

As an AWS Ambassador candidate and Solutions Architect at Miro, I spend a lot of time thinking about how AI should fit into architecture workflows. In this guide, I’ll share what I’ve learned about using AI to enhance, not replace, the human expertise that makes or breaks cloud infrastructure decisions.