Flows
A user-initiated chain of Miro Formats and AI Instruction blocks on the canvas, in which each step's prompt reads connected content and prior output and generates persistent, editable Miro objects such as Docs, diagrams, tables, Kanbans, slides, prototypes, images and complete board layouts.
Recorded characteristics
- Function
- Miro documents Flows as chaining Formats on the canvas to build AI-powered workflows, where each Format acts as input for the next. A user adds a supported Format or AI Instruction block, connects it with diamond AI connectors, opens the TASK bar above the Format and writes a prompt that may use output from any connected Format or instruction block, then clicks Run. The Flow selected context menu shows how many steps remain to be executed, and the run can be started from any Format or block in the Flow. Supported Formats are Board Layout, Diagrams, Docs, Images, Embed iFrame Code, Kanban, Prototypes, Slides, Tables and Timeline. Miro documents a Board Layout generation node in a Flow: the user describes the layout, runs the Flow, and Miro AI generates a structured editable board containing frames, stickies, shapes, tables, Kanbans and interactive widgets. Miro documents that custom Flows can be saved and shared so anyone in the team can run the same workflow, and that readymade Flow templates can be used or customised.
- Data access
- Miro documents that "your canvas is the prompt": sticky notes, Docs, Tables and images already created on the board can become the starting point for a Flow, and a prompt can describe how the Format reads input content or any content on the board. Miro documents that the TASK box lets the user select a large-language model, a knowledge base or web search, with options varying by Format, and that Knowledge integrates providers including Amazon Q (Beta), Gemini Enterprise, Glean, Microsoft Copilot (Beta) and Miro Insights, plus web search, for retrieval into Formats such as Docs, Tables, Sticky notes and Slides.
- Actions
- Can take actions
- External actions
- Unknown
- Human confirmation
- Required
- Permission basis
- Mixed
- Administrative control
- Miro documents Enterprise Company admin AI capability controls in the Admin Console with Everyone, No one or Specific teams settings, including a dedicated Flows category described as "Connect AI prompts to canvas content to create automated workflows", plus separate Sidekicks, Prototyping, content creation, images and beta feature categories, with individual feature management available through the Enterprise Guard add-on. Miro documents that Company admins must enable Miro AI for an organisation and can enable it company-wide or for specific teams, and that Company admins must enable and approve each Knowledge integration. Miro documents billing and Company admin visibility of AI credit balances and usage analytics.
- Default state
- Conditional
- Availability
- Miro documents Flows for team members on Free, Starter, Education, Business and Enterprise plans, on browser, desktop and mobile. Miro documents that on Free, Starter and Education each team member has five Flow runs that do not reset, that the Flows public beta has ended and the maximum run count now applies, and that an indefinite number of runs depending on AI-credit allocation requires the Business plan. On Enterprise, Miro documents that an Accelerate license is required.
- Licensing
- Miro documents that Flows consume AI credits and that credits consumed per run depend on output type, giving one credit for a Sticky, five credits per AI-generated screen for Prototypes and five credits per board layout generation. Miro documents pooled monthly credit allocations per plan (Free 25/month, Starter 25/license/month, Business 50/license/month, Education 100/month, Enterprise varying by license tier), no rollover, purchase of additional credits by billing or company admins, and that AI actions pause when a team exhausts its credits. Miro documents that guests and visitors cannot run AI actions.
- External model or provider
- Miro documents Select Your Own Model (Beta) for Flows and Sidekicks, with a default model shown as Recommended. For Flows the model selector applies to Docs and Image Formats and to the Instruction Block, so different steps can use different models within a Flow. Miro lists reasoning models GPT-5, GPT-5-mini, GPT-5-nano, Claude Sonnet 4, Claude Sonnet 4.5, Gemini 2.5, Gemini 2.5 Flash, o3 and o4-mini, non-reasoning models GPT-4o, GPT-4o-mini, GPT-4.1, GPT-4.1-mini, Claude Sonnet 3.7, Claude Sonnet 3.5 and Gemini 2.5 Flash Lite, and image models Stable Diffusion 3.5 Large and Gemini 2.5 Flash Image (Nano Banana); an example default shown is AWS | Claude 3.5. Miro documents that models may be hosted by Miro or in Microsoft Azure AI.
- Limitations and uncertainty
- Every documented Flow run is started by a person clicking Run; Miro's Flows documentation establishes no schedule, event trigger, self-trigger or external trigger, and scheduling behaviour documented for the separate Miro Automations feature is not attributed here. Miro does not document what happens between steps once a run starts beyond a remaining-step counter, so per-step confirmation is not established. Miro documents a Revert control restoring any Format version from the last 24 hours and gives the example of accidentally running a Flow and overwriting a Doc, which establishes that Flow output can overwrite existing Format content; broader authority to edit arbitrary existing board objects is not established. External action capability is recorded as unknown: Knowledge providers and web search are documented for retrieval only, and Miro does not state whether Flows can write to external systems. Board-permission inheritance for Flow execution is not explicitly documented. Authority documented for Sidekicks, Create with AI, Action Shortcuts, Miro Automations, the Miro MCP Server and the Miro agent for Copilot is excluded from this record.
Evidence
- Flows
Supports: Function · Data access · Actions · Human confirmation · Availability · Limitations · External model · Primary source
Flows chain Formats on the canvas so each Format acts as input for the next, connected with diamond AI connectors and prompted through a TASK bar above each Format or AI Instruction block.
A prompt can use output from any connected Format or instruction block and can describe how the Format reads input content or any content on the board; the TASK box also offers a model, knowledge base or web search.
Running a Flow generates output into the connected Formats on the canvas, and Miro documents reverting a Format to an earlier version after a Flow run overwrote a Doc.
The Flow is executed when the user clicks Run in the TASK bar, and the Flow selected menu shows how many steps remain.
Flows are documented for team members on Free, Starter, Business, Enterprise and Education plans, on browser, desktop and mobile.
Supported Formats are Board Layout, Diagrams, Docs, Images, Embed iFrame Code, Kanban, Prototypes, Slides, Tables and Timeline; Revert restores versions only from the last 24 hours.
Model, knowledge base or web search selection is offered in the TASK box, with options varying by Format.
- Flows overview
Supports: Function · Data access · Actions · Availability · Licensing · General · Primary source
Flows are collaborative AI workflows that transform canvas content through connected multi-step processes, keeping each step linked, visible and editable.
The canvas is the prompt: sticky notes, Docs, Tables and images already on the board can be the starting point for a Flow.
Each step produces something finished and editable directly on the canvas.
Free, Starter and Education team members have five Flow runs that do not reset; Business gives runs limited by AI-credit allocation and Enterprise requires an Accelerate license.
Flows consume AI credits and the number per run depends on output type, for example one credit for a Sticky and five per AI-generated Prototype screen.
Custom Flows can be saved and shared so anyone in the team can run the same workflow, and readymade Flow templates can be customised.
- Miro AI Workflows overview
Supports: General · Primary source
Miro AI Workflows is documented as the suite containing Sidekicks and Flows, which supports the product identity used here.
- Miro AI board layout with Sidekicks and Flows
Supports: Actions · Licensing · Primary source
A Board Layout generation node in a Flow generates a structured editable board of frames, stickies, shapes, tables, Kanbans and interactive widgets from a described prompt.
Board layout generation consumes five Miro AI credits per layout generation.
- Select Your Own Model (Beta)
Supports: External model · Function · Primary source
Model selection applies to Docs and Image Formats and the Instruction Block in Flows, with a Recommended default and documented reasoning, non-reasoning and image model lists.
Different steps of the same Flow can use different selected models.
- Knowledge
Supports: Data access · Permission basis · External actions · Primary source
Knowledge connects Flows to Amazon Q (Beta), Gemini Enterprise, Glean, Microsoft Copilot (Beta) and Miro Insights, plus web search, for retrieval into Formats.
Company admins must enable and approve each Knowledge integration, some integrations require paid provider licences, and users authenticate when first connecting a provider.
Knowledge is documented for retrieving internal information and web-search results into the canvas, not for writing to external systems.
- Miro AI credits
Supports: Licensing · Permission basis · Primary source
AI credits are pooled monthly per plan, do not roll over, can be topped up by billing or company admins, and AI actions pause when the balance is exhausted.
Guests and visitors cannot run AI actions and do not consume credits.
- Miro AI admin controls
Supports: Admin controls · Default state · Primary source
Enterprise Company admins can set each Miro AI capability, including a dedicated Flows category, to Everyone, No one or Specific teams, with per-feature management via Enterprise Guard.
Flows settings are visible and manageable only where the feature is enabled for the organisation.
- Miro AI Admin security
Supports: Admin controls · External model · General · Primary source
Company admins enable Miro AI for the whole company or specific teams, optionally including beta features.
Miro AI models may be hosted by Miro or in Microsoft Azure AI, and interactions may be processed outside the selected data region.
Miro states that data submitted through Miro AI is not retained and is not used to train AI models.