Make Review 2026: Visual Automation Platform Connecting 1500+ Apps with AI

📋 Overview

248 words · 5 min read

Make (formerly Integromat) is a visual automation platform that enables users to build complex workflows connecting over 1,500 applications through an intuitive drag-and-drop interface. Founded in 2012 in Prague, Czech Republic, Make has established itself as a powerful alternative to Zapier, particularly favored by users who need more sophisticated logic, data transformation, and conditional branching in their automations.

In the automation platform market, Make competes directly with Zapier, Microsoft Power Automate, and n8n. While Zapier leads in total app integrations with over 7,000 connections, Make differentiates through its visual workflow builder that displays automations as flowcharts with routers, filters, and error handling branches. This visual approach makes complex multi-step automations easier to understand, debug, and maintain compared to Zapier's linear trigger-action model.

Make's integration with AI services has become a key differentiator as organizations seek to incorporate AI into their business processes. The platform offers native modules for OpenAI, Anthropic, Google AI, and other providers, allowing users to build workflows that generate text, analyze data, classify content, and make AI-powered decisions as part of broader automation sequences. This AI integration capability positions Make as a platform for building AI-enhanced business processes.

The platform serves a diverse user base including small businesses automating routine operations, marketing teams orchestrating multi-channel campaigns, developers building integration backends, and operations teams creating complex approval workflows. Make's combination of visual design, powerful logic, and AI integration has made it particularly popular among technically-minded business users who need more capability than simple automation tools provide.

⚡ Key Features

209 words · 5 min read

Make's visual workflow builder displays automations as flowcharts with modules representing individual actions, connected by lines showing data flow. Routers split workflows into parallel branches, filters conditionally execute paths based on data values, and error handlers manage failures gracefully. This visual representation makes complex logic transparent and debuggable, with execution logs showing exactly how data flowed through each step.

The platform supports over 1,500 application integrations including CRM systems (Salesforce, HubSpot), marketing tools (Mailchimp, ActiveCampaign), project management (Asana, Monday), databases (MySQL, PostgreSQL), and cloud services (Google Workspace, Microsoft 365). Each integration provides trigger events and actions specific to that application, with detailed data mapping between connected services.

AI integration modules connect to OpenAI's GPT models, Anthropic's Claude, Google's Gemini, and specialized AI services for image recognition, sentiment analysis, and language translation. Users can chain AI operations with business logic, such as classifying incoming support tickets with AI and routing them to appropriate teams based on classification confidence scores.

Advanced features include data stores for maintaining state across workflow executions, webhooks for receiving external events, custom HTTP modules for connecting to any API, and team collaboration with shared scenario libraries. Make also supports scheduled execution, real-time triggers, and manual testing modes that help users develop and validate workflows before deployment.

🎯 Use Cases

237 words · 5 min read

Marketing teams use Make to orchestrate complex multi-channel campaigns. A marketing automation workflow might trigger when a lead fills out a form, use AI to score the lead based on firmographic data, add the contact to the appropriate CRM pipeline, send a personalized email sequence based on industry, schedule social media follow-ups, and notify the sales team of high-value leads. Each step involves conditional logic that Make's visual router handles elegantly.

Operations teams build approval workflows that route requests through appropriate channels. A procurement approval workflow might receive purchase requests, calculate total value, route low-value items for direct approval, send medium-value items to department managers, escalate high-value items to executives, update accounting systems upon approval, and notify requestors of decisions. Make's branching logic handles these multi-path scenarios cleanly.

E-commerce businesses use Make to synchronize data across platforms. An order processing automation might receive orders from Shopify, update inventory in warehouse management systems, generate shipping labels, send tracking notifications to customers, update accounting records, and alert customer service of any fulfillment issues. The visual workflow clearly shows the entire process flow from order to delivery.

Developers use Make as a rapid integration platform for connecting internal systems. Rather than building custom API integrations, developers create Make scenarios that handle data transformation, error retry, and webhook management. The platform's ability to connect to custom APIs via HTTP modules means virtually any system can be integrated without writing integration code.

⚠️ Limitations

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Make's learning curve is steeper than Zapier's, particularly for users without technical backgrounds. The visual workflow builder, while powerful, requires understanding concepts like data structures, JSON mapping, error handling, and module configuration that non-technical users may find challenging. Simple automations that take minutes in Zapier may require more time to configure in Make's more detailed interface.

The platform's app integration library, while extensive, covers fewer total applications than Zapier's 7,000+ integrations. Users working with niche or legacy applications may find that Make doesn't support their specific tools, requiring custom HTTP module configuration that demands API knowledge. Popular applications are well-covered, but specialized industry tools may lack native Make integrations.

Execution time limits and operation quotas can constrain complex workflows on lower-tier plans. Scenarios with many modules, large data processing, or frequent triggers may quickly consume monthly operation allowances. Users building data-intensive automations need to carefully monitor usage to avoid unexpected overage charges or plan upgrades.

💰 Pricing & Value

Make offers a free tier with 1,000 operations per month and limited active scenarios. The Core plan costs $9 per month for 10,000 operations, the Pro plan at $16 monthly provides 10,000 operations with advanced features, and the Teams plan at $29 per user monthly adds collaboration. Enterprise pricing with custom limits and dedicated support is available.

Compared to Zapier, Make's pricing is significantly more affordable for equivalent capability. Zapier's Starter plan costs $19.99 monthly for 750 tasks, while Make's Core plan at $9 provides 10,000 operations. This price-per-operation advantage makes Make particularly attractive for high-volume automations. Microsoft Power Automate offers competitive pricing but requires Microsoft 365 subscriptions and has a less intuitive interface.

✅ Verdict

Make is ideal for technically-inclined users who need powerful automation with visual clarity and AI integration at competitive prices. Its visual workflow builder excels for complex multi-step processes. Non-technical users seeking the simplest setup should start with Zapier despite the higher cost.