Make.com vs n8n for AI Workflows: What We Recommend and Why

When clients ask us what platform to use for their AI automation, the answer is almost always Make.com. But that's not because n8n is bad — it's because Make.com is the right tool for the specific situation most small businesses are in. The calculus changes depending on technical capability, budget, and how much control you want over your infrastructure.

Here's how we actually think about it.

What Both Platforms Do

Make.com (formerly Integromat) and n8n are both visual workflow automation platforms. You connect triggers ("when X happens") to actions ("do Y") without writing code. Both support Claude and OpenAI API calls via HTTP modules, webhooks, scheduling, conditional logic, and integrations with hundreds of external services.

The difference is in the hosting model, pricing structure, usability ceiling, and how much you can customise when you need to go beyond the visual editor.

Make.com: The Right Default for Small Business

Make.com is fully hosted — you don't install anything, manage servers, or worry about uptime. You log in, build your workflow visually, and it runs. For a small business owner who wants automation to work without becoming a technical project, this matters enormously.

What Make.com does well:

• The visual interface is genuinely intuitive — most people can build a working 5-step scenario in an afternoon
• Built-in modules for most common tools (Google Sheets, Gmail, Slack, Airtable, and hundreds more) that just work without configuration
• Reliable scheduling and error handling out of the box
• The free tier (1,000 operations/month) is enough to test and run simple workflows
• Support is responsive and the documentation is good

Where Make.com falls short:

• Pricing scales by operations — high-volume workflows get expensive fast
• Your data passes through Make.com's servers (relevant if you handle sensitive client data)
• Complex logic with many branches or custom code feels clunky compared to n8n
• You're dependent on Make.com's uptime and pricing decisions

Our verdict: Make.com is the right choice for most small business AI workflows — blog-to-social pipelines, lead follow-ups, report summaries, review responses. Fast to build, reliable to run, no infrastructure overhead.

n8n: More Power, More Responsibility

n8n is open source. You can self-host it on your own server (a $6/month VPS is sufficient for most small business workflows) or use n8n Cloud (their hosted version). The self-hosted path gives you complete control over your data, unlimited executions for the cost of the server, and the ability to customise anything with JavaScript code nodes.

What n8n does well:

• Self-hosted means unlimited operations for a fixed monthly cost — significant at scale
• Your data stays on your infrastructure — no third-party data exposure
• Code nodes let you write arbitrary JavaScript when the visual editor isn't enough
• More flexible for complex, branching workflows that would be awkward in Make.com
• Active open-source community with constantly expanding integrations

Where n8n falls short:

• Self-hosting requires someone comfortable with Linux and server management — it's not hard, but it's a barrier
• The visual interface is less polished than Make.com; new users take longer to get productive
• Some built-in integrations are less mature than Make.com's equivalents
• When something breaks on a self-hosted instance, you're debugging it yourself

Our verdict: n8n is the right choice when you're running high-volume workflows where Make.com's per-operation pricing becomes a problem, when data sovereignty matters for compliance reasons, or when you have a developer on the team who wants full control.

The Comparison at a Glance

What We Actually Use

For our own blog-to-social pipeline and for most client deployments, we use Make.com. The workflows we're building — RSS triggers, Claude API calls, social media publishing, Google Sheets approval queues — are well within Make.com's sweet spot. The free tier covers testing; the paid tier is affordable at the operation volumes a small business generates.

We've built n8n workflows for clients who had specific compliance requirements around data handling, or who were running high-frequency automations where per-operation pricing would have added up. For those situations, n8n's self-hosted model made clear economic sense.

If you're starting out with your first AI workflow: Make.com. If you're scaling up or have a technical team: evaluate n8n. If you're not sure, book a discovery call and we'll look at your specific situation.