Miro Launches Collaborative AI Workflows for Teams
TECHNOLOGY
Miro’s AI Innovation Workspace enabling teams to collaborate faster and execute at enterprise scale.
For most organizations, AI has remained a solitary experience, a "black box" where individuals prompt a chatbot and hope for the best. But as teams struggle to scale innovation, the need for collaborative AI has never been more urgent.
Today, Miro officially launched AI Workflows, a first-of-its-kind solution designed to bring AI directly onto the shared canvas where teams already work.
From Ideas to Deliverables in Minutes
The promise of AI Workflows is simple: it allows teams to automate end-to-end processes visually. Early adopters are already reporting that the tool has shrunk their innovation cycles from weeks to hours, while cutting total delivery time and costs by over 50%.
“Teams shouldn't have to choose between AI and collaboration,” said Jeff Chow, Chief Product and Technology Officer at Miro. “Collaborative AI Workflows lets teams work with AI the same way they work with each other, visually, in real-time, on a shared canvas where everyone can contribute.”
The Three Pillars of the Miro AI Workspace
The new product suite combines three core capabilities to turn "messy inputs" into professional deliverables:
Flows: Visual, multi-step AI workflows that link actions together while keeping humans in the loop.
Sidekicks: Specialized, conversational AI agents that understand the context of a specific project and can perform complex tasks.
Visual Context Processing: A system where the work already on the Miro board, diagrams, stickies, and process maps, automatically serves as the prompt for the AI. No retyping required.
Real-World Impact: Freitag and EPAM
The results are already tangible for global firms. FREITAG, the Swiss design company, used AI Workflows for an ERP replacement project and saw an 80% improvement in data analysis speed, reducing workshop evaluations from weeks to mere days.
Similarly, the consulting firm EPAM used the tool to bridge the gap between "idea generation" and "validation." By automating the repetitive elements of discovery, their teams moved from hypotheses to proven prototypes in weeks rather than months.
Grounding AI in Enterprise Knowledge
Miro’s AI Workflows aren't operating in a vacuum. The platform connects to major enterprise systems like Microsoft Copilot, Gemini Enterprise, and Amazon Q, ensuring that every AI-generated output is grounded in actual company data rather than generic responses.
In a market where 82% of business leaders are demanding tools that drive team productivity rather than just individual output, Miro is positioning itself as the infrastructure for the next era of work.