Miro vs Relevance AI
A direct comparison of two productivity & workflow tools — what each does well, where each falls short, and which is the better fit depending on your situation.
Miro
Miro
AI-powered visual collaboration workspace for teams
Relevance AI
Relevance AI
Build and deploy custom AI agents for your business
Feature Comparison
| Miro | Relevance AI | |
|---|---|---|
| Company | Miro | Relevance AI |
| Founded | 2011 | 2020 |
| Pricing | Free tier · Starter $10/mo · Business $20/mo · Enterprise custom | Free tier · Team from $19/mo · Business custom |
| Key features |
|
|
Miro
Pros
- +AI operates directly on board content — no need to copy-paste into a separate tool
- +Generates diagrams, docs, and summaries from existing sticky notes and canvas content
- +AI Sidekicks act as custom agents within the shared workspace
- +250+ integrations with Jira, Slack, Confluence, and Google Workspace
- +Used by over 90 million users — mature, reliable, and well-documented
Cons
- −AI features consume credits — heavy AI usage requires a paid add-on
- −Can feel overwhelming for teams that only need basic whiteboarding
- −Free plan has limited AI credits per month
- −Some advanced AI features only available on Business and Enterprise plans
Relevance AI
Pros
- +Custom agent builder handles specific business workflows with consistent output
- +Agents can use tools: web search, code execution, API calls, data lookup
- +Teams of agents can collaborate on complex multi-step research or production tasks
- +More powerful and flexible than off-the-shelf automation for custom requirements
- +Agents deployable as webhooks, on schedules, or embedded in other tools
Cons
- −More configuration required than simpler tools like Lindy
- −Requires understanding of agent architecture to build effective workflows
- −Debugging agent behaviour requires more technical patience
- −Best for teams with a specific workflow problem to solve, not general AI assistance
Miro is best for
- Product and design teams running sprints, retros, and planning sessions
- Distributed teams that need a shared visual workspace with AI built in
- Teams already using Jira or Confluence who want AI-assisted visual planning
Relevance AI is best for
- Teams building repeatable custom workflows like lead enrichment or content pipelines
- Operations leads who need AI agents with consistent, predictable output
- Companies with specific processes to automate that off-the-shelf tools don't cover well
Bottom line
Miro: The right choice for teams that want AI to work on their actual content — not in a separate chat window. If your team already runs brainstorms, design sprints, or planning sessions on a shared canvas, Miro AI accelerates every stage of that process without changing how you work.
Relevance AI: The right choice for teams with a specific, high-volume business process to automate that requires custom logic and consistent, auditable output at scale. If you are building a lead enrichment pipeline, a competitive monitoring workflow, or any process that needs to run reliably thousands of times with predictable results, Relevance AI's structured agent platform is built for that.