Comparing as AI Workflow & Automation ToolsRelay.app vs Miro AI
Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.
Relay.app
Miro AI
Core Differences
The fundamental difference between Relay.app and Miro AI lies in their architectural approach and primary function. Relay.app is a dedicated, standalone operational workflow automation platform that acts as an orchestrator across various business applications. Its core purpose is to define, execute, and manage multi-step processes, with AI serving as an integral, programmable step within these workflows (e.g., 'Use AI to summarize this email'). Crucially, it incorporates a 'human-in-the-loop' mechanism, allowing for explicit human review and intervention at critical junctures to ensure reliability and compliance in operational tasks.
In contrast, Miro AI is an AI enhancement layer deeply embedded within Miro's collaborative canvas environment. It leverages the entire visual workspace – existing sticky notes, diagrams, and content – as contextual input for its AI agents (Sidekicks) and workflows (Flows). Its primary function is to augment team collaboration, ideation, and information structuring directly within the whiteboard interface, rather than orchestrating external application tasks. While it connects to other tools for data, its AI's output and interaction are predominantly confined to enriching the collaborative Miro experience.
Verdict by Category
Best for Operational Workflow Automation
Relay.app's robust visual builder, human-in-the-loop functionality, and extensive app integrations are specifically designed for reliable, multi-step operational processes.
Best for Collaborative Ideation & Visual Structuring
Miro AI seamlessly integrates AI agents and workflows directly into a collaborative canvas, leveraging visual context to accelerate brainstorming and structured output generation for teams.
Best for AI-Powered Processes with Human Oversight
Relay.app's unique and explicit human-in-the-loop checkpoints ensure that even complex AI automations benefit from essential human judgment and approvals.
Editor's Take
Honest opinion from our review team
As an editor, I found that using Relay.app felt like building an intricate, reliable machine. The visual workflow builder is intuitive, and watching the 'robot' execute steps, especially with the human-in-the-loop pauses, gave me a strong sense of control and predictability. It's incredibly satisfying to see a complex operational task, which used to take hours, run seamlessly with integrated AI insights and human checks. It feels like having a highly efficient, trustworthy assistant for my business operations.
Miro AI, on the other hand, felt like having an intelligent co-creator directly on my whiteboard. The 'Sidekicks' and 'Flows' seamlessly integrated into my existing Miro boards, transforming a static brainstorming session into a dynamic, AI-augmented thought process. It didn't feel like 'automation' in the traditional sense, but more like an 'acceleration' of ideation and structuring. While the AI suggestions were often brilliant, I did find myself constantly refining prompts to get exactly what I wanted, which is part of the collaborative AI experience. It truly enhances teamwork, making it feel like every team member has an AI-powered brainstorming partner.
Detailed Comparison
Both Relay.app and Miro AI offer Freemium pricing models, but their value propositions and scaling mechanisms differ significantly. Relay.app's Free plan is quite generous for individual exploration, providing 1 user, 500 AI credits/month, and 200 steps/month. This allows for meaningful experimentation with basic automations and AI features without immediate commitment. Its paid plans (Professional at $19/month annually, Team at $59/month annually) scale up users, AI credits, and steps per month. The primary cost driver beyond users is the reliance on AI credits for advanced AI steps (extraction, summarization, generation), which can become an additional purchase for heavy users. The value here is in cost-effective, reliable operational automation that might otherwise require custom engineering.
Miro AI's Free plan is more restrictive in terms of AI usage, offering only 10 AI credits per team per month, which is quite low for any significant AI interaction. Its paid plans (Starter at $8/member/month, Business at $20/member/month) scale primarily per member and offer increasing AI credits per member. The Business plan is where core AI features like AI Workflows, Sidekicks, and Flows become available. This model emphasizes per-user access to AI-enhanced collaboration. The value is in supercharging team productivity and creativity within the Miro canvas, where the AI acts as an accelerator for every team member. For teams deeply embedded in Miro, the per-member cost for AI functionality is a direct investment in collaborative efficiency. For high-volume AI usage, Relay.app's credit bundles might offer more flexible scaling, whereas Miro AI's AI credits are tied more directly to the per-member subscription.
Relay.app Pros & Cons
Pros
- Intuitive and user-friendly interface, accessible for non-technical users
- Reliable and predictable AI workflows with inspectable history
- Extensive integrations with popular business applications
- Unique human-in-the-loop functionality for critical decisions
- Excellent and responsive customer support
- Cost-effective solution compared to custom engineering
Cons
- Reliance on AI credits for advanced AI features, requiring additional purchases for heavy usage
- Potential learning curve for building and optimizing complex, multi-branch workflows
- Pricing tiers are based on steps per month, which may limit high-volume automation for some users
- While many integrations exist, very niche or specialized apps might not be directly supported
- Enterprise features like custom integrations and priority support are only available on custom plans
Miro AI Pros & Cons
Pros
- Significantly accelerates complex processes and tasks
- Leverages existing canvas content for rich AI context
- Enhances cross-functional team alignment and decision-making
- Offers customizable AI agents and repeatable workflows
- Strong security and compliance features for enterprise use
- Extensive integrations with popular business tools
Cons
- Requires existing familiarity with the Miro platform for optimal use
- Advanced AI features likely require higher-tier subscriptions or custom pricing
- Potential for initial learning curve to optimize AI workflows and agent customization
- Full benefits may depend on deep integration with other enterprise tools
- AI-generated content may still require human oversight and validation
AI Verdict
In the rapidly evolving landscape of AI-powered business tools, Relay.app and Miro AI emerge as distinct yet powerful contenders, each carving out a unique niche. Relay.app positions itself as a robust operational workflow automation platform, designed to translate complex business processes described in plain language into reliable, visual workflows. Its core strength lies in its ability to integrate artificial intelligence for tasks like data extraction, summarization, and content generation, crucially balanced with a unique 'human-in-the-loop' mechanism for critical decisions and approvals. This blend makes Relay.app ideal for businesses seeking predictable, high-stakes automations where human oversight is non-negotiable, spanning use cases from customer onboarding and support ticket routing to sales lead qualification and marketing campaign execution across its 200+ app integrations.
Conversely, Miro AI is an AI-powered enhancement layer built directly into Miro's collaborative canvas, fundamentally aimed at supercharging teamwork and innovation. Its strength is in leveraging the entire visual workspace as a rich prompt, enabling context-aware AI agents (Sidekicks) and multi-step AI workflows (Flows) to accelerate brainstorming, design sprints, and strategic planning. Miro AI excels at generating structured outputs like diagrams, timelines, and documentation, transforming raw ideas into actionable insights within a shared, visual environment. It's perfectly suited for cross-functional teams focused on ideation, problem-solving, and visual collaboration across its 250+ integrations, where the primary goal is to enhance collective intelligence and accelerate decision-making.
The key differentiator lies in their primary focus: Relay.app is about automating how work gets done across applications with an emphasis on reliability and human oversight, making it a powerful tool for business operations managers and process owners. Miro AI is about automating how teams think and collaborate within a visual workspace, making it indispensable for product managers, designers, and strategists who live in a collaborative canvas. While both leverage AI and integrations, Relay.app is an orchestrator of tasks, whereas Miro AI is an accelerator of ideas and visual structuring within a specific collaborative ecosystem.
Frequently Asked Questions
QWhat kind of AI models does Relay.app support for its AI steps?
Relay.app offers support for multiple leading AI models, including GPT (OpenAI), Claude (Anthropic), and Gemini (Google), providing flexibility for users to choose the model best suited for their specific extraction, summarization, or generation tasks.
QCan Miro AI generate diagrams and visual structures from scratch, or does it require existing content?
Miro AI can generate diagrams and visual structures from scratch based on text prompts. However, its true power is unleashed when it leverages existing content on the collaborative canvas, using that as rich visual context to provide more relevant and nuanced AI-generated outputs, such as refining existing diagrams or creating new ones based on surrounding information.
QHow does Relay.app's human-in-the-loop feature work in practice for critical decisions?
In practice, Relay.app's human-in-the-loop feature pauses an ongoing workflow at a designated step. It then notifies a specific user or team (e.g., via email or Slack) to review information, make a decision, or provide manual input directly within the Relay.app interface. The workflow only resumes once the human action is completed, ensuring critical decisions are always human-approved.
QIs Miro AI suitable for automating backend operational tasks like data syncing between CRMs and ERPs?
No, Miro AI is not designed for backend operational tasks like data syncing between CRMs and ERPs. Its focus is on enhancing collaborative work and ideation within the Miro canvas. While it integrates with tools like Jira or Slack to pull live data for context, it does not function as a traditional integration platform for automating data flows or executing complex operational logic across disparate systems. For such tasks, a platform like Relay.app would be more appropriate.