AI Tool Comparison

Comparing as AI Workflow & Automation Tools
monday.com AI vs Make

Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

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monday.com AI official logo and brand icon

monday.com AI

Freemium

Core Differences

The fundamental difference lies in their architectural approach and scope:

  • monday.com AI: An integrated AI feature set within the monday.com Work OS. It leverages the data and context of your monday.com boards and items to provide AI-driven enhancements to project management, task automation, and insights within that specific ecosystem. It's an enhancement layer for an existing platform.
  • Make.com: A standalone visual integration Platform as a Service (iPaaS). Its core function is to connect any two or more applications, systems, or APIs to automate workflows and transfer data between them. It's an orchestration engine for disparate systems, not tied to a single work management platform.

Verdict by Category

Best for Integrated AI Work Management

It offers deep, context-aware AI features directly embedded into a comprehensive work management platform.

Best for Cross-Platform Automation & Integration

Its extensive library of connectors and visual builder excel at orchestrating complex workflows between thousands of external applications.

Best for Non-Technical Workflow Builders (Broad Scope)

Its drag-and-drop interface allows users to visually design intricate, multi-app automations without coding expertise.

E

Editor's Take

Honest opinion from our review team

"

As a reviewer, I found the 'feel' of using monday.com AI to be incredibly intuitive if you're already deeply embedded in the monday.com ecosystem. It felt less like learning a new tool and more like my existing monday.com boards suddenly gained a smart assistant. The sentiment analysis and content summarization felt like genuine time-savers, making me feel more productive within my existing workflow. It's a seamless enhancement that genuinely makes monday.com a more powerful work OS.

Make, on the other hand, felt like stepping into a sophisticated digital workshop. The visual drag-and-drop builder, while powerful, initially presented a steeper cognitive load, demanding a different kind of problem-solving. But once I grasped the concept of modules, triggers, and actions, the sense of empowerment was immense. It felt like I could connect almost anything to anything, building intricate data flows and automations that previously would have required a developer. It's a tool that makes you feel like a digital architect, building bespoke solutions across your entire software stack.

"
Feature & Spec Matrix

Detailed Comparison22 Criteria

Complete side-by-side breakdown of specifications, capabilities, and feature parity

Swipe horizontally to compare features
Feature / Spec
monday.com AI
monday.com AI
Make
Make
Pricing Model
FreemiumFree plan available for up to 2 seats. Basic plan starts at $9/seat/month, Standard at $12/seat/month, and Pro at $19/seat/month, billed annually. Enterprise plan pricing is custom.
FreemiumMake offers a Free plan with limited operations and data transfer. Paid plans start from $9/month (billed annually) for the Core plan, offering more operations, data transfer, and advanced features. Higher tiers like Pro, Teams, and Enterprise provide increased capacity, team collaboration, and dedicated support.
Starting Price
Difference
$9/user/mo (Basic billed annually) or $12/user/mo (Standard) / $19/user/mo (Pro)
$9/mo (Core - 10,000 ops) or $16/mo (Pro - 10,000 ops)
Free Plan & Trial Scope
Difference
Free plan provides up to 2 seats, 3 boards, and basic customizable columns
Free plan provides 1,000 operations per month and access to all standard visual workflow tools
User Rating Score
Unrated
Unrated
Ideal Workflow / Use Case
Difference
Marketing agencies, sales teams, operations directors, and enterprise PMOs building customized operational dashboards and tracking cross-functional projects
Multi-step business process automation, syncing CRM data across databases, automated invoice generation, web scraping data pipelines, and social media scheduling
Enterprise & Scalability
Difference
Visual Work OS Boards (highly customizable column types including status, dates, people, formulas, and progress bars), monday AI Assistant (automatically generates project task breakdowns, writes complex column formulas, and summarizes status updates), 200+ Pre-Built Automation Recipes, Interactive Gantt Charts & Timelines, monday CRM & Dev Products, Dashboards with 30+ Widgets, and Enterprise Security (SOC 2, ISO 27001)
Infinite Visual Canvas (drag-and-drop scenario builder with unlimited branches, routers, and filters), Advanced Data Parsing (native array aggregators, JSON iterators, and regex tools), 1,500+ pre-built SaaS app connectors, AI Assistant & OpenAI/Anthropic modules, Webhooks & Custom HTTP endpoints, Error handling directives (Resume, Ignore, Rollback), and SOC 2 Type II compliance
Core Categories
Difference
AI Productivity ToolsAI No-Code / Automation ToolsAI Business & Finance Tools
AI No-Code / Automation ToolsAI Productivity Tools
AI-powered task assignment
Difference
monday.com AI Advantage
Not listed
Risk analysis across projects
Difference
monday.com AI Advantage
Not listed
Sentiment detection in text
Difference
monday.com AI Advantage
Not listed
Automated content summarization
Difference
monday.com AI Advantage
Not listed
AI-driven translation
Difference
monday.com AI Advantage
Not listed
Custom AI prompt automations
Difference
monday.com AI Advantage
Not listed
AI Service Agents for support
Difference
monday.com AI Advantage
Not listed
Digital Workers for task execution
Difference
monday.com AI Advantage
Not listed
Visual drag-and-drop builder
Difference
Not listed
Make Advantage
Thousands of app integrations
Difference
Not listed
Make Advantage
Advanced scenario design
Difference
Not listed
Make Advantage
Real-time data processing
Difference
Not listed
Make Advantage
Error handling and logging
Difference
Not listed
Make Advantage
Custom webhook support
Difference
Not listed
Make Advantage
Data stores and iterators
Difference
Not listed
Make Advantage
Pricing Verdict & Cost Analysis

Both monday.com AI and Make operate on a freemium model, but their value propositions within those models differ significantly.

monday.com AI's pricing is inherently tied to a monday.com subscription. While a free plan for up to 2 seats exists for monday.com, access to advanced AI features might require higher-tier monday.com plans and potentially additional 'AI credits.' This means the true cost of leveraging monday.com AI isn't just the AI feature itself, but the underlying monday.com platform subscription (Basic at $9/seat/month, Standard at $12/seat/month, Pro at $19/seat/month, billed annually). The value here is in enhancing an existing investment in the monday.com ecosystem, making project management smarter and more efficient.

Make.com offers a more direct freemium model where its free plan provides a limited number of 'operations' and data transfer, making it excellent for testing or light personal use. Paid plans (starting from $9/month billed annually for Core) scale primarily based on the volume of operations and data transfer, along with access to more advanced features and collaboration tools. The value proposition of Make is its cost-effectiveness relative to custom development for integrations. For businesses needing to connect multiple SaaS tools, its scalable pricing can be significantly cheaper than hiring developers or building custom APIs, even with high usage volumes. Users should carefully estimate their 'operations' count to gauge potential costs, as complex scenarios with frequent runs can accumulate costs rapidly.

monday.com AI icon

monday.com AI Pros & Cons

Pros

  • Enhances team collaboration
  • Automates repetitive tasks
  • Provides real-time insights
  • Improves workflow efficiency
  • Offers customizable AI solutions

Cons

  • Requires a paid monday.com subscription
  • AI features may require additional credits
  • Steep learning curve for advanced AI customization
  • Reliance on existing monday.com infrastructure
  • Accuracy of AI outputs depends on data quality
Make icon

Make Pros & Cons

Pros

  • Highly flexible and customizable automation
  • Extensive library of pre-built app connectors
  • Visual interface simplifies complex workflows
  • Scalable for both small tasks and enterprise solutions
  • Robust error handling and monitoring
  • Cost-effective compared to custom development

Cons

  • Steep learning curve for advanced features
  • Pricing can become expensive with high usage volumes
  • Debugging complex scenarios can be challenging
  • Performance can be affected by the number of operations
  • Limited offline functionality

AI Verdict

Navigating the landscape of workflow optimization tools often leads to a crucial distinction: are you looking to enhance an existing work management ecosystem, or build comprehensive, cross-platform automations from the ground up? This is precisely the core difference between monday.com AI and Make.com.

monday.com AI is not a standalone product but rather an intelligent layer integrated directly into the monday.com Work OS. Its primary purpose is to supercharge workflows within monday.com. Think of it as an expert assistant that understands your project boards, tasks, and data, offering features like AI-powered task assignment, risk analysis across projects, sentiment detection in communication, and automated content summarization. It’s ideal for teams already using or planning to adopt monday.com, seeking to make their project management, CRM, or HR workflows significantly smarter and more efficient. Its value proposition lies in deep integration and context-aware AI that leverages your existing monday.com data to provide insights and automate specific functions, ultimately reducing manual effort and improving decision-making within a unified platform.

Conversely, Make.com (formerly Integromat) is a powerful visual integration and automation platform (iPaaS) designed to connect thousands of disparate applications and services. It operates independently of any single work management system. Make.com's strength lies in its ability to let users visually design complex scenarios using a drag-and-drop interface, enabling data transfer, synchronization, and workflow automation between virtually any two or more apps – even custom APIs. Whether you need to automate lead nurturing across your CRM and marketing tools, synchronize e-commerce orders with your inventory system, or build custom data pipelines, Make.com provides the flexibility and extensive connectivity to do so without writing code. It's the go-to solution for businesses and individuals who need to orchestrate complex, multi-application workflows and build custom digital processes that transcend the boundaries of a single platform. In essence, monday.com AI enhances a specific work environment, while Make.com builds bridges between countless environments.

Frequently Asked Questions

QDo I need a monday.com subscription to use monday.com AI?

Yes, monday.com AI is an integrated feature set within the monday.com Work OS, so you must have an active monday.com account to utilize its AI capabilities.

QCan Make.com automate tasks within monday.com?

Absolutely. Make.com has a robust integration with monday.com, allowing you to create scenarios that can, for example, create items, update statuses, or move data between monday.com boards and other applications.

QWhich tool is better for integrating with external CRMs or marketing platforms?

Make.com is significantly better for integrating with a wide array of external CRMs, marketing platforms, databases, and custom APIs, thanks to its extensive connector library and visual integration capabilities. monday.com AI's focus is on enhancing workflows primarily within the monday.com ecosystem itself.

QIs Make.com a no-code platform?

Yes, Make.com is considered a no-code/low-code platform. While it allows for highly complex integrations and automations, it achieves this through a visual drag-and-drop interface, eliminating the need for traditional coding in most scenarios.

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