Make (Integromat): Everything You Need to Know About This Automation Tool

Make is the automation tool we use on most of our projects at Scroll. Clear visual interface, powerful data processing, AI model integration: here’s everything you need to know about Make in 2026, including up-to-date pricing and real-world use cases.

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Looking for a step-by-step tutorial to create your first scenarios instead? See How to Use Make: 2026 Automation Tutorial.

Make or Integromat: What’s the Difference?

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Short answer: it’s the same tool. Make and Integromat are one and the same product. In 2022, after being acquired by Celonis, Integromat changed its name, logo, and interface to become Make. The core features remain the same, with regular additions since then.

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If you still find “Integromat” tutorials online, they apply to Make. The names may have changed in the interface, but the logic remains identical. The term Integromat still appears in some older articles: ignore them for pricing and features.

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What Exactly Is Make?

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Make is a no-code automation tool. You connect apps together, define a trigger and a sequence of actions: when X happens in app A, Make executes Y in app B, then Z in app C. No coding required.

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What sets Make apart from Zapier or similar tools is its visual flowchart interface. Each scenario reads like a diagram. When the workflow exceeds five steps, with conditional branches or data transformations, Make remains readable where Zapier becomes hard to maintain.

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Make connects to over 1,700 apps: Gmail, Slack, Notion, Airtable, HubSpot, Stripe, Shopify, and the vast majority of CRMs or SaaS tools on the market.

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Make in 2026: Pricing and New Features

Make Pricing 2026

Make restructured its pricing in 2024. The scenario-based system (one scenario = one workflow) was replaced by credits, which measure the volume of operations executed.

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Current plans:

- Free plan: 1,000 credits/month. Ideal for testing a simple workflow.

- Core: €10.59/month. 10,000 credits, 2 active users, custom webhooks.

- Pro: €18.82/month. Real-time data, execution priority, advanced functions.

- Teams: €34.12/month. Unlimited users, priority support, team management.

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An annual subscription offers a 15% discount. Additional credits can be purchased on demand without changing your plan.

Make and AI models in 2026

Since 2024, Make has integrated modules for GPT, Claude, and Gemini directly into scenarios. A flow can have an AI model analyze a document, retrieve the structured response, and pass it to the next workflow step without leaving Make.

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The MCP (Model Context Protocol) published by Anthropic in 2024 has simplified these integrations. Make supports MCP, enabling Claude to connect to any data source in a standardized scenario.

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Three real-world use cases we’ve deployed for our clients:

- Smart email sorting: Claude reads each incoming message, categorizes it (lead, invoice, customer support), and routes it to the correct Make workflow.

- Automatic document summarization: a PDF arrives in Google Drive, Make sends it to Claude, retrieves a structured summary, and creates a Notion task.

- Assisted writing: a contact form is analyzed by an AI model, which pre-drafts a personalized response for human review.

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Make vs alternatives in 2026

Make vs Zapier

Zapier remains the benchmark for integration volume (7,000+) and ease of use. Its linear interface works well for short workflows. Make becomes relevant as workflows grow: conditional branches, iterators, aggregators, and custom webhooks available from the free plan.

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For a 10-step flow executed 200 times a day, Zapier consumes 60,000 tasks per month. On Make, it’s a fraction depending on actual operations. At equivalent volume, Make is often more cost-effective for active projects.

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Read: our Make vs Zapier comparison with real-world flow examples.

Make vs n8n

n8n is the rising open-source alternative. It self-hosts on your own server (free and unlimited, roughly $20–$40/month for a production VPS) and includes around twenty native AI nodes. It’s more powerful for technical teams that want full control over their data and need to script advanced behaviors.

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Make still has the edge in usability. For mixed teams (tech and non-tech collaborating on the same scenarios), Make remains the most consistent choice. n8n requires someone to manage the infrastructure and updates.

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For a full overview of available tools, see our article on automation tools in 2026.

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Who is Make for?

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Make is a great fit for mixed teams that want readable workflows without writing code, for projects with large amounts of data to transform (filters, aggregations, conversions), for scenarios with multiple logical branches, and for projects integrating AI models into broader workflows.

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Make is less suitable if your team is 100% technical and wants full control over hosting: self-hosted n8n will be a better fit. If you’re just starting with automation and have no complex needs: Zapier will suffice for your first flows.

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Scroll supports your Make projects

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At Scroll, we created the Make agency, a team dedicated to automation projects. We design production-ready flows: documentation, error handling, alerts, and incident recovery. We’re experts in Make, n8n, Zapier, and integrating AI models (Claude, GPT) into workflows. If you need to stabilize a back office, integrate an AI flow, or a no-code project to take over, get in touch to discuss.

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