Miro Flows: AI workflows on the canvas for quicker results
Nov 12, 2025
Introduction
Miro Flows integrate AI workflows directly onto a Miro board, allowing teams to transition from ideas to finished outputs with fewer hand-offs. Build visible, step-by-step processes on the canvas, select models for each step, and connect enterprise assistants for organizational context.
What are Miro Flows
Flows are visual, AI-driven workflows executed on a board. Each step uses the canvas as context, and then passes structured output to the next step, transforming multi-step tasks like sprint planning or writing briefs into a repeatable process. Flows are currently documented as Beta.
How Miro Flows work
You can link steps that operate on Miro Formats such as Docs, Tables, Timelines, Diagrams, or Slides. Inputs originate from the board, outputs are generated on the board, and you can pause or modify any step for added control and governance.
Key capabilities
Quickly start with pre-built Flow templates, then customize for your process.
Select the ideal AI model for each step to suit the task and output format.
Connect enterprise AI assistants like Microsoft Copilot, Gemini Enterprise, Glean, and Amazon Q to incorporate company knowledge into the workflow.
Why it matters
Flows make best practices repeatable, reduce the need to switch tools, and ensure work is auditable since every step is visible on the canvas. Teams can swiftly move from research and workshops to roadmaps, journey maps, prototypes, or PRDs, with the flexibility to intervene as necessary.
Who benefits
Product and Design: Transform discovery into concepts, journey maps, and prototypes, then export clear artifacts for handover.
Engineering and Delivery: Standardize intake, backlog creation, and sprint planning with consistent, reusable steps.
Marketing and CX: Turn workshops and interviews into content plans and service blueprints that teams can reuse continuously.
Practical ways to start
Interview to sprint plan: Condense notes, create themes, propose backlog items, and outline a sprint. Start from a template and refine.
Workshop to roadmap: Consolidate sticky notes into initiatives, then sequence them into a timeline or roadmap.
Process to flowchart: Use Miro AI to generate an initial flowchart, then collaboratively enhance it.
Adjacent templates that help
User flows, screen flows, and process templates remain effective building blocks before or alongside automation in Flows. They assist teams in mapping steps clearly, then converting the pattern into a reusable Flow.
Rollout approach
Choose one recurring workflow with clear inputs and outputs.
Map it on a board using existing diagram or process templates, then build the Flow.
Run a pilot with a small group, measure time saved and quality, document and template for wider use.
How Generation Digital can help
Generation Digital assists organizations in piloting and scaling Miro Flows effectively. We conduct a short strategy workshop to identify high-value candidates, build and document your first reusable Flows, offer guidance on connecting enterprise AI assistants where applicable, and establish governance to ensure safe and consistent adoption by teams.
Ready to implement Miro Flows across your teams, with clear guidance and outcomes? Reach out to Generation Digital for a swift rollout plan.
FAQs
Is Miro Flows available now?
Miro documents Flows as a Beta capability within the broader AI Canvas beta. Refer to the Help Centre for current status and access.
Can I choose different AI models in a Flow?
Yes. You can select the model for each step to ensure the output matches the task, for example, briefs, journey maps, or roadmaps.
Does Flows work with enterprise assistants like Copilot or Gemini?
Yes. Flows can draw knowledge from Microsoft Copilot, Gemini Enterprise, Glean, and Amazon Q, enabling outputs to utilize company context.
Do I need to build from scratch?
No. You can begin with pre-built Flow templates, then adapt and share them across the workspace.
