n8n vs Make vs Zapier for AI workflows: which should a small business use?

Most small-business AI automation isn't a custom app. It's a workflow: something happens (an email arrives, a form is submitted, an invoice lands in a folder), an AI step reads or classifies it, and the result goes somewhere useful. The three tools people usually build these in are Zapier, Make and n8n.

I've built workflows in all three. They overlap a lot, so the right choice depends less on features and more on how you'll be billed, who will maintain it, and where your data is allowed to go.

The short answer

• Zapier if you want the simplest setup, use mainstream apps, and run a modest number of tasks.
• Make if your workflow has branches, loops or data transformations and you want a visual builder at a lower price per step.
• n8n if you need control over your data, want to self-host in the EU, or expect the workflow to grow into something complex.

How they charge you

This is where the real difference is. Zapier bills per task, which roughly means every action step that runs. A five-step workflow that runs 1,000 times uses a lot of tasks. Make bills per operation (it now calls them credits), and an operation is usually cheaper than a Zapier task. n8n cloud bills per workflow execution, so a long workflow costs the same as a short one, and the self-hosted community edition has no per-run fee at all.

Remember the AI model's own cost on top. Whichever tool you use, the call to OpenAI, Anthropic or another provider is billed separately by that provider. For simple classification or summaries that's usually a few euros a month at small-business volumes.

Side-by-side comparison

When Zapier is the right choice

If you're a non-technical owner who wants to connect a form to your CRM and have AI summarise each lead, Zapier is the fastest way to get there. It has the largest catalogue of app integrations and the gentlest learning curve. The catch is cost at volume: once a workflow has several steps and runs thousands of times a month, the bill climbs quickly.

When Make is the right choice

Make sits in the middle. Its visual canvas handles branches, filters and loops well, and the same workflow usually costs less than on Zapier. It's my default for clients who want to see and adjust the workflow themselves but need more than a straight line of steps.

When n8n is the right choice

n8n is the most flexible of the three. You can drop in custom code, call any API, and build multi-step AI workflows with memory and tools. The big advantage for European businesses is self-hosting: run it on a small EU server and customer data never leaves infrastructure you control, which makes GDPR conversations much simpler. The trade-off is that someone has to maintain that server.

A real example

A typical first project: quote requests arrive through the website form. The workflow reads the message, has an AI step extract the job type, location and urgency, adds the lead to a spreadsheet or CRM, notifies the right person, and prepares a draft reply. In Zapier that's around six tasks per lead. In Make it's a similar number of cheaper operations. In n8n it's one execution. At 30 leads a month any of them is fine. At 3,000 the difference matters.

My recommendation

Start with the workflow, not the tool. Write down the trigger, the steps and how often it runs, then pick the tool that bills sensibly for that shape. If you're unsure or the data is sensitive, I usually build in n8n hosted in the EU, because it's the one you won't outgrow.

For ideas on what to automate first, see 6 practical AI automation examples with real costs. If you'd like it built for you, AI automation at WebSilm starts from €350 with a free 30-minute scoping call.