Process and AI automation: n8n, Make, Zapier or a custom solution?

Three roads to the same goal

Every automation does the same thing: when something happens (a new email, an order, a spreadsheet row), it runs agreed steps in other systems. The tools differ in where the flow runs, who builds it and what happens when something goes wrong.

In practice companies choose between three approaches: a no-code platform (Zapier, Make, n8n), an RPA robot that imitates a person in the user interface, and an integration written for a specific process. None of them is “better” out of context.

Zapier: the fastest start for simple flows

Zapier runs in the cloud and has a very large library of ready connections to popular apps. A flow (a Zap) consists of a trigger and subsequent actions, configured in the browser. It is a good choice when you want to test an idea quickly, e.g. move leads from a form to a CRM and send a notification.

Limits appear with large numbers of operations, because billing depends on the number of tasks run, and with complex logic that branches many times. Data passes through the vendor's servers, which has to be considered in a GDPR assessment.

Make: visual scenarios with more control

Make (formerly Integromat) shows a scenario as a map of modules joined by lines. Branches, loops over lists, filtering and field mapping are easier to build. Automation in Make works well when a flow has several variants or processes arrays of data, such as order line items.

Here too you pay per operation and the scenario runs in the vendor's cloud. As scenarios grow, so does the risk that only one person in the company understands how they work.

n8n: your own server and code nodes

n8n can run on your own server or as a cloud service. A self-hosted install means data does not have to leave the company's infrastructure, and the number of executions is limited by server capacity rather than a price list. n8n has nodes for working with language models, which is why it often comes up in searches for AI automation with n8n.

The price is maintenance: updates, backups, monitoring and server security fall on the company or its contractor. The n8n licence has conditions on commercial use that are worth reading before you deploy.

RPA in business: when a system has no API

RPA (Robotic Process Automation) is software that clicks, copies and pastes in a program's interface just like an employee. Examples include UiPath and Power Automate Desktop. RPA makes sense when an old program offers no API or export and the process is repetitive and stable.

RPA's weakness is fragility: a changed window layout, a new program version or an unexpected message can stop the robot. That is why we treat RPA as a temporary measure or a last resort, not the default choice.

Custom automation: when ready-made blocks are no longer enough

A custom integration is code written for your process: a service that receives events, processes data, stores it in a database and reports errors. It makes sense when the flow is business-critical, handles a lot of data or needs rules that cannot be clicked together in a readable way.

• The number of operations is so high that the no-code subscription grows faster than the value of the automation.
• The process has many exceptions and needs its own database, job queue and retries.
• The data is sensitive and must not pass through external servers.
• You need logs, tests and documentation that survive one person leaving.

In the project described in our task queue case study, separating long and short jobs in code produced a measurable reduction in processing time. That kind of control over a queue is hard to achieve in a no-code platform.

How to choose: a short cheat sheet

Before you pick a tool, answer four questions: how many times a day the process runs, whether the systems have APIs, where the data may be processed and who will fix the flow when it stops working.

• A simple flow between popular apps, small scale, quick test: Zapier or Make.
• Many variants and work on lists of data: Make or n8n.
• Data must stay on the company's server, and someone in the team or at a contractor can maintain it: self-hosted n8n.
• A program with no API and no export: RPA, ideally with a plan to replace it with an integration.
• A critical process, large scale, logs and tests required: custom automation.

A common and sensible path is to start in a no-code tool and move a proven flow into code as scale grows. What matters is writing down the process steps from day one, because they, not the tool, are the most valuable part of the work.