n8n, Zapier, Make or a custom AI agent: which one?

Written by the Saména team · 12 November 2026 · Updated12 November 2026

This comparison is written by Saména, which appears in it; what it says about the others comes from their official pages, checked on 12 November 2026. To connect applications to each other, Zapier, Make and n8n all work well, and n8n is the only one of the three you can host yourself. When the task means reading documents, understanding a case and preparing a reply that a person validates, we rank a custom agent built by a forward deployed agency first.

You want to automate repetitive work. Four paths come up: Zapier, Make, n8n, or an agent built for you. The first three connect applications; the fourth understands a case.

How we compared

1. Custom agent, by a forward deployed agency: for tasks that require understanding

An agent reads your documents and mails, finds what matters for the case at hand and prepares the reply, the quote or the document. A person in your company validates before anything is sent. At Saména, the first call lasts 30 minutes, is free and carries no commitment, and a first agent runs two weeks later.

• Strength: it handles cases that do not fit an “if this, then that” rule.
• Strength: one subscription for the whole company, unlimited users, servers in France.
• Limit: you need someone on your side to validate what is prepared.
• Limit: to connect two applications with a simple rule, an automation tool costs less.

2. n8n: to automate it yourself, with control over hosting

n8n describes itself as “the platform for agents and workflows you can follow”. Its pricing page says all plans include unlimited users and workflows, billed by number of executions. Hosted plans store data in the European Union, on servers in Frankfurt. A community edition can be installed on your own servers from GitHub, and the Business plan exists only as self-hosted.

• Strength: self-hosting, which keeps data with you.
• Strength: unlimited users and workflows.
• Limit: you build and monitor every workflow, and installing and maintaining a self-hosted version is on you.

3. Zapier: to connect many applications without code

Zapier presents itself as “Build and govern AI workflows and agents across 9,000+ apps”. It is billed per task, and its agents are billed in “activities”, a separate unit. Its security page says data is stored on AWS in the United States, and that Zapier does not train models on the data running through your workflows.

• Strength: the broadest app catalogue of the three.
• Strength: no code needed to get started.
• Limit: you build and monitor every workflow, and task volume raises the bill in steps.
• Limit: no European hosting is stated on the security page.

4. Make: for visual scenarios, with an EU data zone available

Make describes itself as “an AI automation platform” and bills in credits. When you create the organisation, you choose a US or EU data zone, which cannot be changed afterwards. Its documentation states that an EU zone does not guarantee every request stays in the Union: Make’s AI features send requests to the United States.

• Strength: the visual scenario editor and the choice of data zone.
• Limit: you build and monitor every scenario, and you need to read the zone documentation for the AI features.

Our recommendation by case

• A clear rule between two applications (“when this happens, do that”): Zapier, Make or n8n.
• Data that must stay with you: n8n, self-hosted.
• A task that means reading documents, understanding a case and preparing a reply: a custom agent.

They combine: an automation tool triggers the agent, the agent prepares, a person validates.