Introduction

Miro Flows integrate AI workflows directly into a Miro board so teams can progress from ideas to completed outputs with fewer transitions. You create visible, multi-step processes on the canvas, select models for each step, and connect enterprise assistants for business context.

What are Miro Flows

Flows are visual, AI-driven workflows that you run on a board. Each step uses the canvas as context, then transfers structured output to the next step, making multi-step work like sprint planning or writing briefs a repeatable process. Miro Flows are currently in Beta.

How Miro Flows work

You create a sequence of steps that work on Miro formats, such as Docs, Tables, Timelines, Diagrams, or Slides. Inputs are sourced from the board, outputs are generated on the board, and you have the ability to pause or adjust any step for control and compliance.

Key capabilities

• Start quickly with pre-designed Flow templates, then customize them for your specific process.

• Select the optimal AI model for each step to align with the task and output format.

• Integrate enterprise AI assistants like Microsoft Copilot, Gemini Enterprise, Glean, and Amazon Q to leverage company knowledge in the workflow.

Why it matters

Flows make best practices repeatable, reduce tool-switching, and ensure work is auditable because every step is visible on the canvas. Teams can quickly transition from research and workshops to roadmaps, journey maps, prototypes, or PRDs, with the option to intervene as needed.

Who benefits

• Product and Design: Convert 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: Transform workshops and interviews into content plans and service blueprints that teams can execute repeatedly.

Practical ways to start

• Interview to sprint plan: Summarize notes, create themes, propose backlog items, then outline a sprint. Begin with a template and refine.

• Workshop to roadmap: Synthesise sticky notes into initiatives and sequence them into a timeline or roadmap.

• Process to flowchart: Generate an initial flowchart with Miro AI, then enhance it collaboratively.

Adjacent templates that help

User flows, screen flows, and process templates are valuable building blocks to use before or alongside automation in Flows. They help teams clearly map steps, then turn the pattern into a reusable Flow.

Rollout approach

1. Select one recurring workflow with clear inputs and outputs.

2. Map it on a board using current diagram or process templates, then build the Flow.

3. Pilot with a small group, measure time savings and quality, document, and template for broader use.

How Generation Digital can help

Generation Digital assists organizations in piloting and scaling Miro Flows effectively. We conduct a concise strategy workshop to identify high-value candidates, build and document your first reusable Flows, provide advice on integrating enterprise AI assistants as needed, and establish governance to ensure teams adopt safely and consistently.

Ready to pilot Miro Flows across your teams, with clear guidelines and outcomes? Contact Generation Digital for a streamlined rollout plan.

FAQs

Is Miro Flows available today?
Miro documents Flows as a Beta feature within the larger AI Canvas beta. Check the Help Centre for the 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, such as briefs, journey maps, or roadmaps.

Does Flows work with enterprise assistants like Copilot or Gemini?
Yes. Flows can access knowledge from Microsoft Copilot, Gemini Enterprise, Glean, and Amazon Q so outputs integrate company context.

Do I need to build from scratch?
No. You can start with pre-built Flow templates, then adapt and share them across the workspace.