How quickly will I see results?

Most clients see things change within the first two weeks — faster response times, more calls booked, hours saved. Full ROI usually shows up within 60 to 90 days depending on your lead volume.

I'm not technical at all. Will this work for me?

That's most of our clients. We build simple dashboards that anyone on your team can use, and we run a proper handover session so nothing feels confusing. You won't be left figuring things out on your own.

My business is different from most. Can you still help?

We start every project with a full audit of your specific workflow and goals — we don't pull from a template library. The more specific your situation, the better we can tailor the system.

How much does it cost?

Projects range from $3,000 to $15,000 depending on complexity. Most clients see a 3 to 5x return within six months. Book a call and we'll give you a clear quote — no obligation.

Every system is built inside your own accounts. Your CRM, your email, your cloud. We don't store your customer data on our servers — you stay in full control.

What happens after the build is done?

We don't hand you a manual and disappear. After launch you get ongoing performance monitoring, fixes, and improvements as your business grows. We're invested in this working long-term.

What does an AI agency mean?

An AI agency builds and manages AI-powered systems for a business instead of the business building them in-house — voice agents, chatbots, automated lead follow-up, and workflow automation. Unlike a software vendor, an AI agency designs the system around your specific process, connects it to your existing tools, and maintains it after launch.

How do I choose an AI automation agency?

Look for four things: they audit your actual workflow before proposing anything (not a template pitch), they build inside your own accounts so you own everything, they show real client outcomes with numbers, and they stay involved after launch instead of handing off a manual. Ask to see a live client dashboard before signing anything.

n8n vs Make (2026): Honest Comparison From a Builder

Last updated: July 2026

n8n and Make.com are the two automation platforms we build client work with. The short version: Make is faster to build simple automations and friendlier to non-technical users. n8n is stronger for complex logic, AI-heavy workflows, and self-hosting. Costs diverge sharply as workflows grow, because the two platforms charge for different things.

That last sentence decides more projects than any feature list, so let us start there.

The pricing model difference matters more than the price

Make charges per operation. Every step in a scenario counts. A workflow with 20 steps that runs 100 times a day consumes 2,000 operations daily.

n8n charges per workflow execution on its cloud plans. That same 20-step workflow running 100 times counts as 100 executions. The step count inside is free.

The consequence: simple two-or-three step automations cost about the same on either platform. Complex workflows get expensive on Make and stay cheap on n8n. And since automations tend to grow more steps over time, Make bills tend to grow with them. Both platforms change their plans and limits regularly, so check current pricing pages before deciding on cost alone.

Quick comparison

	n8n	Make.com
Pricing unit	Per workflow execution	Per operation (every step counts)
Self-hosting	Yes, on your own server	No, cloud only
Learning curve	Steeper, more technical	Gentler, very visual
Complex logic and branching	Excellent, code steps when needed	Good, gets awkward at high complexity
AI agents and LLM steps	Native AI agent nodes, first-class	Solid AI app integrations
App connector count	Hundreds, plus any API via HTTP node	More prebuilt connectors overall
Data control	Full, if self-hosted	Data flows through Make's cloud

Where Make wins

Speed to a working simple automation. Form to CRM, CRM to Slack, invoice to spreadsheet. The visual builder is genuinely pleasant and a non-developer can maintain what you build.
Prebuilt connectors. Make's app library is larger. If your stack is common SaaS tools, everything clicks together without touching an API doc.
Team adoption. If the business owner wants to open the scenario and understand it visually, Make is the friendlier canvas.

Where n8n wins

Complex, branching workflows. Multi-path logic, error handling, loops, and code steps where the visual approach runs out. This is where Make scenarios turn into spaghetti.
AI-first automation. n8n's AI agent nodes let you build workflows where a model reasons, decides, and calls tools mid-flow. We build lead qualification and call summarisation this way with Claude.
Self-hosting and data control. n8n runs on your own server. For businesses with data-sensitivity requirements, that alone settles the question.
Cost at scale. Per the pricing section above: long workflows that run constantly stay affordable.

The decision rule we actually use

For client work we pick per workflow, not per ideology:

Simple, high-visibility automation the client's own team should maintain: Make.
Complex logic, AI steps, high run volume, or data that should not leave the client's infrastructure: n8n.

Plenty of our client stacks run both, and that is fine. They are tools, not religions.

Frequently asked questions

Is n8n harder to learn than Make?

Yes, moderately. Make feels like arranging blocks; n8n feels like building a small program with blocks. A technical person is productive in n8n within days. A non-technical person will prefer Make and stay there happily.

Is n8n really free if self-hosted?

The community edition can be self-hosted without a license fee. You still pay for the server and, more honestly, for the time of whoever maintains it. For most small businesses, managed cloud on either platform is the right call until volume justifies self-hosting.

Which is better for AI workflows?

n8n, currently. Its AI agent nodes treat LLM reasoning as a native workflow step. Make connects to all the major AI APIs and does the job, but AI feels integrated into n8n and attached to Make.

Can I migrate from Make to n8n later?

There is no one-click migration; workflows get rebuilt. That is less painful than it sounds if the workflows are documented, and it is a standard project for an automation agency. But it is a real cost, so if you expect complexity to grow, starting on n8n saves the rebuild.

What about Zapier?

Zapier has the biggest app library and the simplest interface, priced per task on a model closer to Make's. For the complex, AI-heavy automation this comparison is really about, it runs out of road earliest of the three.

The bottom line

Pick Make for simple automations a non-technical team will own. Pick n8n for complex logic, AI workflows, self-hosting, or high volume. If you would rather skip the learning curve entirely and just have the workflows built, that is what we do. Book a free call and we will map what is worth automating in your business first.

n8n vs Make: An Honest Comparison From Someone Who Builds With Both