Make: complete definition in AI for SMEs

Make (formerly Integromat) is a no-code automation platform that connects applications through visual scenarios. Each scenario chains modules: trigger (new CRM lead, email received) → processing (filtering, transformation, API call) → action (database update, Slack notification, task creation). Make stands out for its granularity: conditions, iterations and routers can be added in the same scenario.

What it changes for an SME

Make is the natural choice when an SME wants to automate without developers:

• Prospecting: a form → AI qualification → CRM add → welcome email;
• Reporting: every Monday, KPI aggregation from 3 tools → LLM summary → Slack delivery;
• Quote management: email receipt → PDF extraction → database check → alert if variance exceeds 5%.

Make offers a free plan (1,000 operations per month), allowing testing without commitment. Paid plans start at around 9 euros per month.

Limits

Make is excellent for linear scenarios and medium volumes. For complex workflows with heavy branching, parallelism or advanced business logic, N8N or a Python script is often more appropriate. In fractional AI leadership, we choose Make for its simplicity and fast implementation on first use cases.

Make in practice

Make (formerly Integromat) is an online automation platform: you assemble "scenarios" by connecting modules visually. It offers many connectors and can call an AI model at any step. It is hosted by the vendor, so there is no server to administer.

Getting started well

1. Pick a simple scenario: one trigger, two or three actions.
2. Add error handling from the start, with an alert on failure.
3. Watch operations consumption: every executed module counts, and poorly designed scenarios get expensive fast.
4. Document: name, purpose, owner, data processed.

Make or n8n

Make is valued for its quick start. n8n appeals when you want to self-host and keep control of data. The right choice depends on data sensitivity, volume and in-house skills.

Frequently asked questions

Is Make enough for an AI agent? For flows with a model call, yes. For an agent that plans and uses several tools autonomously, more specific development is often preferable.

How much does it cost? The subscription depends on operations volume. The real cost is design and maintenance time: that is what we size during the AI audit.