Make Review (2026): Visual Automation Platform for Complex Workflows

What is Make?

Make is a visual workflow automation platform that connects over 3,000 applications through a drag-and-drop interface. Originally known as Integromat before rebranding, Make is now owned by Celonis and positions itself as an alternative to simpler automation tools like Zapier, emphasizing visual workflow design and complex multi-step automations.

The platform's core approach differs from linear automation tools: instead of simple trigger-action sequences, Make uses a visual canvas where you build branching workflows with conditional logic, data transformation, and parallel processing. This makes it particularly suited for operations teams and technical users who need to orchestrate complex business processes across multiple systems.

Make has recently expanded into AI automation, offering AI agents, agentic automation that adapts in real-time, and an MCP (Model Context Protocol) server for connecting AI systems to business actions. The company hosts an annual conference called Make Waves and maintains an active community around workflow automation.

Key features

Visual workflow builder: Make's signature feature is its node-based canvas where each step in your automation appears as a visual module. You can see data flow between apps, add routers for conditional logic, and build parallel branches—all without writing code. This visual approach makes debugging easier than text-based automation tools.

3,000+ app integrations: The platform connects to major business tools across categories including CRM, marketing, project management, databases, and AI services. Integrations include both verified apps built by Make and community-contributed connectors.

AI agents and agentic automation: Make's recent AI features include pre-built AI agents you can deploy from their library, tools for building custom agents that orchestrate workflows across multiple apps, and "agentic automation" that claims to adapt workflows in real-time based on business needs.

Advanced data operations: Unlike simpler automation tools, Make includes built-in functions for data transformation, aggregation, and manipulation. You can parse JSON, transform arrays, perform calculations, and handle complex data structures without external tools.

Make Grid: An enterprise feature for managing automation at scale, providing visibility across your entire automation landscape, governance controls, and centralized management for organizations running hundreds of workflows.

Pricing

Make uses a credit-based pricing model where each operation (a single action in your workflow) consumes credits. Paid plans start at $12/month when billed annually for the Core plan, which includes 10,000 operations per month.

The platform offers a free tier, though specific operation limits weren't detailed in the available research. The pricing structure scales through multiple tiers (Core and higher plans) with increasing operation credits, priority execution, team collaboration features, and enterprise security controls at upper tiers.

This credit system means your actual cost depends on workflow complexity—a simple two-step automation costs 2 operations per run, while a complex workflow with 20 steps costs 20 operations. Users report this can make costs unpredictable compared to flat-rate automation tools, particularly when scaling workflows or adding error handling that increases operation counts.

What works well

The visual interface genuinely helps with complex workflows. Reddit users and G2 reviewers consistently praise Make's ability to handle multi-step automations that would be cumbersome in linear tools. Being able to see your entire workflow, including branches and error handlers, makes troubleshooting significantly easier than parsing logs in text-based systems.

The platform offers more control than simpler alternatives. You can access raw API responses, transform data inline, and build sophisticated conditional logic without hitting the limitations that frustrate users of more basic automation tools. For technical users or operations teams, this flexibility is Make's primary selling point.

The integration library is extensive and includes both popular business apps and niche tools. The community-contributed connectors expand options beyond what verified integrations offer, though quality varies.

What could be better

The learning curve is steeper than advertised. While Make markets itself as "no-code," users report that effectively using the platform requires understanding concepts like JSON parsing, API responses, and data structures. First-time automation users may find themselves overwhelmed by options that simpler tools abstract away.

Credit-based pricing creates uncertainty. Multiple users across comparison articles note that predicting monthly costs is difficult because operation counts vary based on workflow design, error handling, and data volume. A workflow that seems simple might consume credits quickly if it processes large datasets or includes extensive error checking.

The AI features appear nascent. While Make heavily promotes AI agents and agentic automation, these capabilities are recent additions. The research doesn't provide evidence of mature AI functionality or clear differentiation from competitors' AI offerings beyond marketing language.

Who is Make best for?

Make works best for operations teams and technical users who need to automate complex, multi-step business processes. If you're connecting five or more apps in a single workflow, need conditional branching, or regularly transform data between systems, Make's visual approach and flexibility justify its complexity.

Small to mid-sized businesses with dedicated operations staff will find value here, particularly if they're outgrowing simpler automation tools but aren't ready for enterprise iPaaS solutions. Marketing teams running sophisticated campaign workflows and growth teams automating data pipelines are common use cases.

Developers and technical founders who want automation control without building custom integrations will appreciate Make's access to raw API data and transformation capabilities.

Who should skip it?

If you're new to automation or need simple trigger-action workflows ("when I get an email, add it to my spreadsheet"), start with Zapier or similar tools. Make's complexity is overkill for basic automations, and you'll spend more time learning the platform than you'll save through automation.

Non-technical teams without operations support should look elsewhere. Despite the "no-code" label, Make assumes comfort with technical concepts. If your team struggles with spreadsheet formulas, they'll struggle with Make.

Budget-conscious solopreneurs should carefully evaluate whether Make's credit system works for their use case. The operation-based pricing can become expensive for high-volume workflows, and simpler tools with flat monthly rates may be more predictable.

Verdict

Make occupies a specific niche: it's more powerful than Zapier but more accessible than enterprise integration platforms. If you have complex automation needs and someone technical to set things up, it's a solid choice. The visual workflow builder genuinely helps with sophisticated automations, and the extensive integration library covers most business tools. However, the learning curve is real, the credit-based pricing requires careful monitoring, and the AI features need more time to prove their value beyond marketing claims. Know what you're getting into before committing.