Make
Visual, canvas-based automation for complex workflows
A drag-and-drop automation platform, formerly Integromat, that builds workflows as a visual map of connected modules, with branching, iteration and error handling built in.
Make draws a workflow the way most people actually think about one: as a map, with modules connected by visible lines showing where data goes, where it branches, and where it loops back. That’s the core difference from a linear automation tool — a scenario with five conditional branches is something you can look at and understand, not something you have to trace step by step.
It suits builders comfortable with a bit more structure in exchange for handling genuinely complex logic — data transformations, multi-branch conditionals, iterating over collections — that a simple trigger-action tool struggles with. Credit-based pricing also tends to be more forgiving than per-task billing once a workflow runs at real volume.
The canvas that makes complex scenarios legible also makes simple ones feel like more setup than necessary, and the app catalogue, while large, is smaller than Zapier’s for niche or regional tools. A scenario with many branches can also get visually cluttered enough that a monitoring alert or a broken module takes real effort to trace back to its source.
Features
Visual scenario builder
Workflows are drawn as a connected map of modules rather than a linear list, making complex logic easier to follow.
Routers & iterators
Native branching and looping for handling collections and conditional logic without workarounds.
Built-in error handling
Retry, ignore or resume rules attached directly to a failing module inside the scenario.
AI modules
Connects OpenAI, Claude and Gemini steps directly into a scenario alongside conventional app integrations.
HTTP and webhook modules
Call any API that has no ready-made connector, which is what stops an unsupported app from ending the automation.
Data stores and scheduling
Keep state between runs and trigger on a schedule, so a scenario can do work that depends on what happened last time.
Use cases
- Building a multi-branch workflow that's easier to read as a diagram than a step list
- Automating data transformations across a chain of apps with conditional logic
- Orchestrating an AI step, such as summarizing or classifying, as part of a larger workflow
- Calling an API that has no ready-made connector
- Running a scheduled job that remembers what it did on the previous run
- Handing a colleague a workflow they can read and change without your notes
Compare Make head to head
Side-by-side comparisons, on pricing, platforms and where each one wins.
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