Make vs n8n for Australian Small Business (2026)

Choose Make if you want a visual cloud builder and prefer the vendor to run the platform. Choose n8n if your workflows involve many steps, or you need to choose where the automation server sits. I'd price a real workflow before choosing: the billing unit, AI usage and responsibility for maintenance can change the answer.

Make vs n8n: Which Should an Australian Small Business Choose?

Start with the process you need to run. If an enquiry needs context from your CRM, a drafted reply, approval and a logged outcome, map those actions first. My guide to workflow automation explains that starting point.

The table reflects official material checked on 25 October 2026. Published integration counts describe each vendor's catalogue, not a guarantee that your particular action is supported.

Make's strength here is the visual builder and its listed app catalogue. n8n's strength is the billing model for complex workflows and the option to manage your own infrastructure. Check the exact CRM action you need before counting integrations as a deciding factor.

For the wider field, see my Zapier, Make and n8n comparison.

How Do Make Credits and n8n Executions Change What You Pay?

The useful distinction is what gets counted. As at October 2026, Make says one operation equals one credit by default. Adding module actions generally adds credit consumption, while some AI and advanced features consume variable credits.

As at October 2026, n8n counts a single run of the entire workflow as an execution, regardless of complexity. Starter includes 2,500 monthly executions at EUR 20/month billed annually; Pro includes 10,000 at EUR 50/month billed annually. Business includes 40,000 at EUR 667/month billed annually and is self-hosted only.

So a long workflow makes n8n worth pricing carefully. That does not establish which tool is cheaper for your business. Run volume, Make's actual credit consumption, separate AI charges and maintenance still belong in the calculation.

As at October 2026, Make's AI Provider charges credits for operations and AI tokens. A custom AI provider connection charges Make credits for operations, with token charges paid directly to the AI provider. Custom connections require a paid Make plan.

I'd compare a representative batch of enquiries, including exceptions and approval steps. Record the usage, then add AI provider bills and whoever maintains the workflow. Check Make's current pricing page and billing settings: its paid price table could not be verified on 25 October 2026. Neither vendor's checked pricing material states AUD pricing or GST treatment.

Which Is Better for AI Agents, and How Does Each Keep a Person in the Loop?

As at October 2026, Make builds AI Agents in its visual builder. Its Reasoning panel shows decisions step by step, and the product supports rules, manual approvals and stopping an agent at specific points. That suits a walkthrough where the owner wants to inspect how a proposed action was reached.

As at October 2026, n8n's AI Agent node requires at least one connected tool sub-node. Its human review feature can require approval before a particular tool executes. Denying approval cancels that action.

Neither feature chooses the right approval boundary for you. I'd put the gate immediately before sending a sensitive message, changing a financial record or taking another consequential action. Reviewing a draft means little if the agent can still send it through another route.

For an enquiry workflow, the design could be: gather CRM and inbox context, draft a reply, request approval, send the approved version and record the outcome. Test rejection and missing approval as carefully as approval. My human-in-the-loop automation guide covers that design decision.

Where Is Your Data Stored with Make and n8n, and Can It Stay in Australia?

As at October 2026, Make lists US1, US2, EU1 and EU2 data zones. No Australian zone is listed. Make also warns that choosing an EU zone does not automatically keep every request in the EU, and bringing your own AI provider connection removes Make's EU guarantee.

As at October 2026, n8n Cloud stores hosted-plan data in Frankfurt, Germany. Self-hosted n8n sits wherever you choose to host it, so an Australian server is an option.

But choosing that server only answers where n8n itself runs. I'd also map where each connected CRM, AI provider and other service receives or stores information before promising that a workflow's data stays in Australia.

The maintenance trade-off is explicit. n8n says self-hosting requires you to provide and manage infrastructure. Its Community edition runs without a licence key, but hosting, updates, backups and security still need an owner and a budget. For a deeper walkthrough, see building small-business AI workflows with n8n.

What Does Switching from Make to n8n, or Back, Involve?

I'd scope switching as a rebuild. No official migration tool between Make and n8n was identified in the material checked on 25 October 2026. Do not budget on scenarios importing directly.

1. List each workflow's trigger, connections, steps, approval gates and recorded outcomes.
2. Rebuild one workflow, checking field mappings, permissions and failure handling.
3. Run both versions side by side with controlled inputs and outbound actions disabled where needed to prevent duplicate messages or updates.
4. Compare drafts, approvals, records and usage before enabling the replacement and turning the old workflow off.

I'd move a workflow only when the expected saving or control justifies rebuilding and maintaining it. A working automation deserves a clear reason to disturb it.

What Should You Automate Around Whichever Tool You Keep?

I'd start with an enquiry that needs a reply, context and follow-up. Define who approves the message, what happens when information is missing and where the result gets recorded. Then choose the builder.

For an Australian service business that wants automation designed, built and then run for it, with a person approving anything sensitive, Truespeak is built for exactly that. I've built 25 working systems for Truespeak.

Truespeak works with the tools a business already uses, and a step stays manual where there is no usable connection. After launch, Truespeak keeps running the system: monitoring, fixing failures, reviewing exceptions and improving the rules.

That is the work behind business process automation. If you want help choosing the process and running it afterwards, start with a discovery call.