Gorgias, Zendesk or Your Own AI Support: Our Take

The question comes up in almost every conversation: Gorgias or Zendesk. My counter-question is always the same: how many tickets do you actually get per month?

Because the answer depends on that. Feature lists don't decide it. We run nano., mate and MUSTAX with two people handling day-to-day work. We tried all three routes, and we ended up with a mix.

The three routes, briefly

Gorgias is a helpdesk built for shops from day one. Next to every ticket you see the order, and you can refund and cancel right there. Connecting it to Shopify takes half an hour.

Zendesk is the big platform. Everything is configurable: roles, queues, reporting and connections to just about any system. The price for that is effort. Setup takes weeks, not hours.

Your own AI support in our case means: an inbox plus n8n plus a language model. The AI reads every request, pulls the order data and either answers or escalates. There's no helpdesk in the classic sense involved. It's a process we wrote ourselves. How something like that is put together, step by step, is in Customer Service Automation.

What support really costs

The license fee is the smaller item. The real math runs on cost per ticket, and handling time belongs in there.

The decisive difference sits in the last two rows. Gorgias bills by ticket, so your price grows exactly when support hurts. A self-built setup costs a lot up front and almost nothing after that, whether 500 or 5,000 requests come in.

That was our reason to switch. Across three brands with 150 to 200 requests a week combined, every ticket-based model would have gotten more expensive with each growth step.

Lock-in: the item nobody prices in

A helpdesk holds on to three things, and all three are hard to get back out.

Your history. Years of conversations sit in the system. Exporting usually works, but you get a file rather than a usable thread.

Your rules. Automations, templates, queues: that's real work, it lives inside the vendor and runs nowhere else.

Your address. Support mail runs through the vendor. That can be solved, but it's a move with a DNS change and a lot of nerves.

With a self-built setup the lock-in sits somewhere else, and that deserves saying out loud. You're tied to the person who built the thing, not to a vendor. If your only technical person leaves and nothing is documented, you have a bigger problem than a notice period.

What AI changes about this

All three routes have AI by now. The difference is how far you're allowed to let it go.

With the ready-made helpdesks you get good but limited automation. It answers standard questions from your knowledge base and pulls order data. What it can't do: reach into your warehouse system, apply your own pricing logic, or tie a decision to your approval rules.

In our setup, the AI answers around 65 percent of all requests completely automatically. The single biggest block is the question about the parcel, at roughly 40 percent. That exact case needs access to Shopify and the carrier at the same time, and then a judgment call: is the delivery date still realistic or not. We described the process in Automating WISMO Requests.

The other lever sits before the answer, at the sorting stage. That works well everywhere and is the lowest-risk entry point, because no customer ever sees a wrong answer. How we did it is in Pre-Sorting Support Emails With AI.

Data protection and GDPR

Support is where the most sensitive data sits. Names, addresses, orders, sometimes health details when someone writes to explain why a hard toothbrush doesn't work for them.

A data processing agreement is mandatory. With Gorgias and Zendesk just as much as with your hosting provider. Both offer one, but you have to actively sign it.

Ask where the language model runs. That's the question missing from most comparisons. Does the email text go to a provider outside the EU? Is it used for training there? Two answers are a condition for us: processing inside the EU, and training on our data contractually ruled out.

Deletion deadlines have to work technically. A customer requests deletion. Then the ticket has to go, and so does the history in your automation tool. We delete execution data after 30 days, otherwise we couldn't claim a complete deletion.

Hand over sparingly. The model needs the question and the order status. It doesn't need the full customer history. With a self-built setup you decide that yourself, with ready-made tools only within limits. That's one of the strongest arguments for your own process, and one of the least often mentioned.

Our recommendation by company size

Under 200 requests a month: take Gorgias. Anything else is busywork. You're up and running in an afternoon, the Shopify connection fits, and the cost stays manageable. Spend this phase building your product, not your support stack.

200 to 1,500 requests a month: Gorgias plus your own add-on. This is the zone where the first self-built process pays off, specifically for the parcel question. It's the biggest block, it's unambiguous, and it needs data from two systems. Leave the rest in the helpdesk.

Over 1,500 requests a month: self-built as the core. From here on, ticket models make you pay twice for every step of growth. Budget 2 to 4 weeks of build time and someone to look after it afterwards.

Zendesk, if you have several brands, languages and a real team. From roughly five support staff you need roles, cover arrangements and reporting you can rely on. That's Zendesk's strength, and it justifies the setup time. For a shop run by two people it's too much tool.

If your goal is more revenue without more support staff, also read Scaling Without a Support Team.

The limits

Three things none of the three routes solves.

A bad product. If 20 percent of your tickets are complaints about the same thing, that's a product problem. The best helpdesk just makes the complaints visible faster. That's the most useful side effect of good sorting, by the way: you finally see what people really complain about.

Emotional cases. A gift doesn't arrive in time, someone is angry. No automation helps there. In our setup, negative sentiment goes straight to a human, no exceptions. More on that in AI in Customer Service: What Actually Works.

Building your own system is not a weekend project. It took us two years to reach 65 percent. The hard part wasn't the technology. We built the trust step by step: first only sorting, then drafts, then sending on its own.

Conclusion

There's no right answer to Gorgias versus Zendesk. There's a right answer to your ticket volume, your team size, and the question of whether someone at your company can look after technology.

Small: ready-made tool, right away. Medium: ready-made tool plus one self-built process for the biggest block. Large: your own core, with clear limits and a human for everything emotional.

What stays the same in all three cases: automate only once you know what your customers write about. If you don't know the current state, all you're buying is faster chaos.

If you have your ticket numbers in front of you and aren't sure which of the three zones you fall into: get in touch with Flowhouse. We'll also tell you when your current tool is perfectly sufficient.