There’s something missing from the AI revolution: teams. AI is everywhere, but it’s all in silos. In fact, 76% of leaders say most AI tools focus on the individual versus the team.¹ People may make quick progress on their solo projects when they work alone with AI, but work slows down when they sync back with their teams — at the exact moment that speed matters most.
It’s no wonder organizations aren’t seeing the transformation they expected.
AI can accelerate processes, suggest ideas, and speed up iteration, but innovation requires the creativity, critical thinking, and empathetic collaboration that only teams bring. So, teams and AI co-creating together means better, faster innovation. And when entire organizations, not just a team or two, adopt this approach, they unlock the full transformative power of AI.
That’s why, at Canvas 25, we launched the AI Innovation Workspace — built to bring AI and teams together on a shared canvas to get great work done, faster.
Here’s what that looks like in practice:
Bringing teams and AI together in the flow of work
Teams today are drowning in “work about work.” For every hour spent on creative, strategic tasks, knowledge workers are burning three hours on admin like emails and meetings. And then there’s the brutal context-switching. Sixty-three percent of knowledge workers say the data and insights they need are scattered everywhere. Each jump means explaining your thinking all over again, and losing momentum.
The AI Innovation Workspace solves this by keeping AI right where the work is happening. The canvas becomes the prompt: all that work your team does becomes rich context for AI to build on.
Visual context processing
We’ve embedded visual context processing directly into the canvas. That means the platform can now see and understand what’s on your canvas: the subtle clustering of sticky notes that shows how ideas relate, the metadata on wireframes that captures design decisions, and the decision trees in your process maps that map out logic and any other context you embed to the canvas.
All of this rich visual data drives better context for AI, so teams spend less time engineering the perfect prompt, and AI provides smart suggestions and helpful next steps.
Flows
Flows are your AI-powered processes. They’re visual, multi-step workflows that automate entire sequences while keeping teammates in the loop.
Imagine this: Your team gets together for a brainstorm in Miro. At the end of that session, instead of manually sorting through sticky notes, writing up takeaways in a doc, then creating tasks in your project management tool, you run a Flow. It analyzes the canvas, pulls out the key themes, generates a project brief, creates a roadmap, and starts populating your backlog — all in minutes.
But unlike black-box automation, you can see every step and jump in at any point to tweak or redirect. And when you perfect a Flow, share it across your organization so everyone benefits and the workflow is repeatable.
Sidekicks
Think of Sidekicks as AI collaborators who show up ready to work, at any time of day. They’re co-creators who see your work and help move it forward.
Need a workshop builder who knows your facilitation style? A roadmap strategist who understands your company’s priorities? A backlog prioritization expert who filters everything through your strategy lens? Choose from our library of pre-built specialist Sidekicks, or build your own tailored to specific expertise.
Equipping the whole organization to evolve
Most organizations are still at step one of their AI transformation journey. Individuals or small pockets of teams are adopting AI and applying it to old, often broken ways of working. It’s like putting a faster engine in a car with square wheels.
The business impact of AI only comes when fundamental ways of working shift — when entire organizations adapt to keep teams driving forward together. That means AI can’t continue in silos. It needs to work with your models, your knowledge, your tools, and your ways of working.
That’s exactly what the AI Innovation Workspace is designed to do.
Your models
Your organization has already invested in AI. Maybe you’ve standardized on one vendor. Maybe you use several. We support them all — OpenAI, Anthropic, Google, Azure, and more. You can even bring your own AI key to power Miro AI with your instance.
Your knowledge
Company knowledge is everything. Without it, AI gives you generic responses that may sound OK but don’t translate to meaningful impact. That’s why we’ve built deep partnerships with Gemini Enterprise, Glean, and Amazon Q to bring your corporate knowledge closer to where work and decision-making happen.
When your Sidekicks and Flows can tap into your knowledge base — your brand guidelines, your methodologies, your project briefs, your past decisions — they deliver outputs that aren’t just just good enough. They’re actually good.
Your tools
Keeping teams in the flow means connecting to the tools they rely on. We already have bi-directional integrations with Jira and Azure DevOps, plus support for embedding any content type to reduce context switching.
But we’re taking this even further with support for the Model Context Protocol (MCP). This deeply connects Miro to AI and agentic platforms.
Transform your diagrams, process maps, docs, or prototypes in Miro into production-ready code in tools like Cursor, Lovable, Claude Code, and GitHub Copilot. Two-way syncs keep your code aligned with your original specs, so implementation stays up-to-date for future team knowledge, and AI-generated code hits the mark.
Your ways of working
This is where it gets personal. Every organization has unique ways of working: the specific language you use, how you review work, how you run projects.
That’s why you can tune custom Sidekicks to match your specific needs. Create Flows that automate steps across your complex processes. Use Spaces and Blueprints to configure end-to-end processes that standardize your ways of working across the organization.
Getting great done with confidence
None of this matters if you can’t trust it. So, Miro is ISO 42001 certified — among the first platforms to attain this AI management systems standard. We provide granular AI governance controls so you can set permissions by team, track usage, and confirm compliance.
The AI Innovation Workspace isn’t about automating individual tasks. It’s about transforming how teams co-create across the AI Innovation Loop — getting them to a better answer, faster than ever before.
¹ Forrester’s Q3 2025 AI Workflows For Team Innovation Survey [E-65113]
