I get asked this question at least twice a week. A business owner reads about automation, Googles "best automation tool," and ends up staring at three logos: Zapier, Make, and n8n. All three do roughly the same thing. All three have free tiers. And all three can waste enormous amounts of your time if you pick wrong.
I've built hundreds of workflows across all three platforms. Here's what I actually think, without the affiliate-link bias you'll find in most comparison articles.
Zapier: The Safe Pick That Gets Expensive Fast
Zapier is the Toyota Corolla of automation. It works. It's reliable. Your marketing intern can figure it out in an afternoon. For connecting two apps with a simple trigger-action pattern ("when I get a form submission, add it to my CRM"), Zapier is hard to beat.
The problem starts when you need anything beyond basic connections.
Pricing reality check: Zapier's free tier gives you 100 tasks per month. That sounds fine until you realize a single multi-step workflow can burn through that in a day. The Professional plan starts at $29.99/month for 750 tasks. A mid-size company running 5-10 automations will land on the Team plan at $103.50/month, often higher. I've seen Finnish companies paying $300-500/month for Zapier alone.
Where Zapier falls short: branching logic, loops, error handling, and anything involving AI models. You can technically do it, but it feels like building a house with a screwdriver.
Make (formerly Integromat): The Visual Builder's Dream
Make is what happens when designers build an automation tool. The visual workflow editor is genuinely excellent. You can see your data flowing through nodes, inspect what happened at each step, and debug problems visually. For people who think in flowcharts, Make clicks immediately.
Pricing advantage: Make charges by operations, not tasks. Their free tier includes 1,000 operations per month, and the Core plan at $10.59/month gives you 10,000. For the same money you'd spend on Zapier, Make typically handles 3-5x more volume.
Make handles moderate complexity well. Routers, filters, iterators, error handlers. If your workflow needs to split into different paths based on conditions, Make does it elegantly.
The weakness: when you need to integrate AI models, run custom code, or build workflows that talk to each other, Make starts creaking. Their AI nodes exist but feel bolted on rather than native.
n8n: The Power Tool for Complex AI Workflows
n8n is open-source, self-hostable, and built for people who aren't afraid of a little complexity. This is what we use at WicFlow for most client projects, and there's a reason for that.
Why n8n wins for AI automation:
- Native AI nodes for Claude, GPT, Gemini, and local models. Not just "call an API" but actual structured AI chains with memory and context.
- Custom code anywhere. Need to parse a weird PDF format? Write 10 lines of JavaScript right inside the workflow. No external functions needed.
- Sub-workflows. Build modular automations that call each other. This is how you build systems, not just workflows.
- Self-hosting. Your data stays on your server. For Finnish companies dealing with GDPR-sensitive customer data, this matters enormously.
The trade-off is real, though. n8n has a steeper learning curve. The UI is functional but not as polished as Make. And self-hosting means you need someone to maintain the server, handle updates, and fix things when they break at 2 AM.
The cloud version (n8n Cloud) starts at $24/month and removes the hosting burden, but then you lose the data residency advantage.
Data Residency: The Finnish Elephant in the Room
Here's something most comparison articles ignore entirely. Both Zapier and Make store your workflow data on US servers. If your automations process customer names, emails, purchase histories, or anything that qualifies as personal data under GDPR, you need to think about this.
Standard Contractual Clauses (SCCs) exist, and both platforms comply with them. But "compliant" and "ideal" are different things. If you're in healthcare, legal services, or government contracting, the conversation changes.
n8n self-hosted on a Finnish or EU server (Hetzner's Finnish data center in Tuusula, for example) keeps everything within EU borders. Full stop. No data transfer agreements needed.
My Honest Recommendation
Use Zapier if: You need 2-3 simple automations, your team will maintain them, and you're connecting mainstream apps. Budget $30-50/month.
Use Make if: You need 5-15 moderately complex workflows, your team is somewhat technical, and you want the best visual builder. Budget $20-60/month.
Use n8n if: You need AI-powered workflows, handle sensitive data, want unlimited scaling without per-task pricing, or are building automations that need to evolve over time.
Why Most SMBs Should Hire an Expert
Here's the uncomfortable truth. I've watched business owners spend 40-80 hours trying to build automations themselves. They watch YouTube tutorials. They join Facebook groups. They get something half-working and declare victory.
Then it breaks on a Tuesday afternoon, and nobody knows why.
The math is simple. If you bill your time at even 50 EUR/hour, 60 hours of DIY automation costs you 3,000 EUR in lost productivity. A professional builds the same thing in 10-15 hours, with proper error handling, monitoring, and documentation.
The platform matters less than the architecture. A well-built automation on any platform beats a poorly-built one on the "best" platform.
Your time is better spent running your business. Pick the right tool, bring in someone who's built hundreds of workflows, and get back to the work that actually generates revenue. If you want to see what you can build on these platforms, check out our 12 ready-to-deploy AI workflows for SMBs.
If you're evaluating automation platforms and want a second opinion, I'm happy to spend 20 minutes looking at your situation. No pitch, just honest advice on what fits. Our buyer's guide to choosing an AI partner in Finland might also help you think through the decision.