Make Review: Automate AI workflows. Integrate apps. Boost efficiency.

We tested Make (formerly Integromat) extensively in May 2026, exploring its capabilities for AI-driven automation and complex workflow orchestration. Our review dives deep into its visual builder, AI integrations, and enterprise suitability. We found it to be a powerful, flexible platform for connecting disparate systems and automating intricate processes, especially with the latest AI advancements.

Quick Summary

Overall Rating: 4.5/5  |  Free Plan: ✅ Yes
Best For: Technical business analysts, developers, power users needing complex AI workflow automation
Pricing: $9/mo  |  Ease of Use: 3.5/5  |  Value: 4/5
Last Tested: May 2026  |  Version: Latest

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What Exactly Is Make and How Does It Work in 2026?

Make, formerly Integromat, is a visual platform for building, automating, and integrating workflows. It allows users to connect various apps and services, transfer data between them, and automate tasks without writing code. In 2026, Make has significantly enhanced its AI capabilities, enabling users to integrate large language models (LLMs), machine learning services, and AI-powered data processing directly into their automated scenarios. We observed a robust drag-and-drop interface for constructing intricate automation sequences.

Is Make Right for You?

• → Technical business analysts automating cross-departmental processes
• → Developers looking to offload integration work and focus on core development
• → Marketing and sales operations teams building complex lead nurturing or data enrichment flows
• → IT professionals managing system integrations and data synchronization

⚠️ When to Avoid: If you only need simple, single-app automations (e.g., 'send email when new row added to spreadsheet') or lack any technical aptitude for logical flow design.

What Does Make Actually Do? Every Feature We Tested

• How does Make visually build automation workflows?

  We found Make's visual builder to be exceptionally powerful, allowing users to drag and drop modules representing apps and actions. Connecting these modules forms a 'scenario' that defines the flow of data and operations. The interface supports complex branching, error handling, and iterative loops, making it suitable for sophisticated automation logic.

• What AI integrations does Make offer in 2026?

  Make has significantly expanded its AI module library. We successfully integrated with OpenAI's latest models for text generation and summarization, Google Cloud AI for sentiment analysis, and various custom AI APIs. This allows for dynamic content creation, intelligent data routing, and advanced data processing within workflows.

• Can Make connect to internal databases and custom APIs?

  Yes, we observed robust capabilities for connecting to internal databases (SQL, NoSQL) via direct connections or SSH tunneling. Make also provides generic HTTP/SOAP modules, enabling seamless integration with virtually any custom API, which is critical for enterprise environments with bespoke systems.

• How does Make handle data transformation and manipulation?

  Make offers extensive built-in functions for data transformation, including text manipulation, number operations, date formatting, and JSON/XML parsing. We found its mapping tools intuitive for transforming data between different application formats, ensuring data integrity across integrations.

• What monitoring and logging features does Make provide for workflows?

  We tested Make's operational monitoring tools, which provide real-time insights into scenario executions. Detailed logs show each step of a workflow, including input and output data, allowing for efficient troubleshooting and performance analysis. Alerts can be configured for failures or specific events.

• Does Make support team collaboration and version control for automations?

  Make offers team collaboration features, allowing multiple users to work on scenarios within shared organizations. While not a full-fledged Git-like version control, it does provide scenario history and the ability to revert to previous versions, which is helpful for managing changes in a team setting.

How Much Does Make Cost? Full Pricing 2026

Make offers a tiered pricing model based on 'operations' (each step in a scenario counts as an operation) and data transfer. We found their free plan generous enough for basic testing and small personal projects. Paid plans scale up, offering more operations, increased data transfer, and advanced features like higher execution frequency and priority support. Enterprise plans are custom-quoted, providing dedicated infrastructure and enhanced security. The cost-effectiveness largely depends on the volume and complexity of your automations.

Check Latest Make Pricing →

Pros and Cons of Make

When Does Make Actually Help?

How Do You Get Started With Make?

• 1. Sign up for a free Make account.
• 2. Explore pre-built templates for common integrations or start a new 'scenario'.
• 3. Connect your first app (e.g., Google Sheets, Slack), add modules, and define your workflow logic.

Is Make Worth It in 2026?

For organizations and power users seeking to build sophisticated, AI-enhanced automations, Make is absolutely worth it in 2026. Its visual builder and extensive module library, particularly its enhanced AI integrations, provide unparalleled flexibility. While there's a learning curve, the ability to connect virtually any app and orchestrate complex data flows without heavy coding delivers significant ROI through increased efficiency and reduced manual effort. However, assess your operational volume carefully to manage costs effectively.

Make vs Competitors 2026

The AI automation and workflow tool landscape is competitive. Make stands out with its visual complexity and depth, often appealing to users who find simpler tools too restrictive. We compared it against leading alternatives, focusing on integration breadth, AI capabilities, and ease of use for complex scenarios. Each tool has its niche, and the 'best' choice often depends on specific use cases and technical proficiency.

Make FAQ

Is Make free?

Yes, Make offers a free plan that includes 1,000 operations per month and allows for two active scenarios. This is sufficient for testing the platform and running very basic automations, but most serious users will need a paid plan for higher volumes and advanced features.

What is Make best for?

Make is best for building complex, multi-application workflows and automating intricate business processes, especially those involving data transformation, conditional logic, and AI services. It's ideal for technical business users, developers, and operations teams looking to connect disparate systems.

How does Make compare?

Make compares favorably to competitors like Zapier for its advanced visual builder and ability to handle more complex logic, and to n8n for its managed cloud service and enterprise-level integrations. It sits in a sweet spot for those who need more power than Zapier but prefer a managed service over self-hosting n8n.

Is Make worth it?

Make is definitely worth it for organizations that require sophisticated automation capabilities and can leverage its powerful visual builder and AI integrations. The investment pays off through significant time savings and improved operational efficiency, provided you manage your operational costs effectively.

Main limitations?

The main limitations include a steeper learning curve for non-technical users, potential cost escalations for very high operational volumes if not carefully managed, and occasional complexities in debugging very large scenarios. While powerful, it demands a certain level of logical thinking.

If Make Is Not Right for You

• Zapier — Easier to use for simple, linear automations and less technical users.
• n8n — Open-source flexibility, self-hosting options, and strong developer focus.
• Microsoft Power Automate — Deep integration with Microsoft ecosystem and enterprise-grade security.

Bottom Line: Make is an exceptionally powerful and flexible AI automation platform, best suited for organizations ready to invest in a steeper learning curve for unparalleled control over complex, AI-enhanced workflows.

Last Tested: May 2026 | Reviewed by theaitoolsbox.com editorial team