Miro Flows: AI workflows on the canvas for faster delivery

Introduction

Miro Flows bring AI workflows directly onto a Miro board so teams can move from ideas to finished outputs with fewer hand-offs. You build visible, multi-step processes on the canvas, choose models per step, and connect enterprise assistants for organisational context.

What are Miro Flows

Flows are visual, AI-powered workflows you run on a board. Each step uses the canvas as context, then passes structured output to the next step, which turns multi-step work such as sprint planning or writing briefs into a repeatable process. Flows are currently documented as Beta.

How Miro Flows work

You chain steps that operate on Miro Formats, for example Docs, Tables, Timelines, Diagrams or Slides. Inputs come from the board, outputs are created on the board, and you can pause or adjust any step for control and governance.

Key capabilities

• Start quickly with pre-built Flow templates, then customise for your process.

• Select the best AI model per step to match the task and output format.

• Connect enterprise AI assistants such as Microsoft Copilot, Gemini Enterprise, Glean, and Amazon Q to use company knowledge in the workflow.

Why it matters

Flows make best practice repeatable, reduce tool switching, and keep work auditable because every step is visible on the canvas. Teams can move from research and workshops to roadmaps, journey maps, prototypes or PRDs in minutes, with the option to intervene wherever needed.

Who benefits

• Product and Design: Turn discovery into concepts, journey maps and prototypes, then export clear artefacts for handover.

• Engineering and Delivery: Standardise intake, backlog creation and sprint planning with consistent, reusable steps.

• Marketing and CX: Convert workshops and interviews into content plans and service blueprints that teams can run again and again.

Practical ways to start

• Interview to sprint plan: Summarise notes, create themes, propose backlog items, then outline a sprint. Start from a template and refine.

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

• Process to flowchart: Generate a first-pass flowchart with Miro AI, then improve it collaboratively.

Adjacent templates that help

User flows, screen flows and process templates remain useful building blocks before or alongside automation in Flows. They help teams map steps clearly, then convert the pattern into a reusable Flow.

Rollout approach

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

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

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

How Generation Digital can help

Generation Digital helps organisations pilot and scale Miro Flows the right way. We run a short strategy workshop to identify high-value candidates, build and document your first reusable Flows, advise on connecting enterprise AI assistants where applicable, and set governance so teams adopt safely and consistently.

Ready to pilot Miro Flows across your teams, with clear guardrails and outcomes? Talk to Generation Digital for a fast rollout plan.

FAQs

Is Miro Flows available today?
Miro documents Flows as a Beta capability within the broader AI Canvas beta. Check the Help Centre for current status and access.

Can I choose different AI models in a Flow?
Yes. You can select the model per step so the output matches the job, for example briefs, journey maps or roadmaps.

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

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