Ideal for subject matter experts who want an AI colleague to handle repetitive tasks. With our fully agentic workflows, AI agents respond within the context of their tasks, ask questions, and react to errors.
Ideal for connecting numerous SaaS applications in deterministic, rule-based pipelines. It features a vast integration library and a visual scenario editor—provided someone on your team is comfortable building and maintaining workflows.
Ideal for developers and technical teams who want maximum control and the option to self-host. Open-source, extensible via code, and flexible—though it does require technical resources for setup and maintenance.
Three tools, three philosophies. Here is an honest overview on one page before we dive into the details.
The same features, side by side. We’ve also highlighted where Make.com and n8n truly lead the pack.
| Functionality | Scalan | Make.com | n8n |
|---|---|---|---|
| Created & executed by a non-technical user | Yes | Thinks in nodes | Technical / self-hosted |
| Build mechanics | Describe in plain language | Visual node editor | Visual nodes + code |
| Agentic workflow with tool calls & decision logic | Yes, multi-stage | Rule-based only | Rule-based + AI nodes that you connect |
| Persistent identity (dedicated email, Teams presence) | Yes | No | No |
| Works by default in existing company channels | Email & Teams | Via triggers | Via triggers |
| Contextual assessment, reports issues, asks before acting | Yes | No | No |
| Context across documents / conversations | Yes (memory function on roadmap) | No | No |
| Ongoing maintenance | Low, update via chat | High, rebuild flows | High, maintenance + hosting |
| Integration scope | Growing, SME-focused | Over 1,000 apps | Over 400, code-extensible |
| Data control / hosting | German / EU, GDPR compliant | Cloud (EU region option) | Self-hosting = full control |
| Free to get started | Free trial | Free plan | Free (self-hosting) |
| Total cost of ownership | €19 / month, all-inclusive | Low license costs + setup & maintenance | Free license + hosting & development time |
Last updated: June 2026. Scalan is our product; data regarding Make.com and n8n is sourced from the respective providers' public documentation and pricing lists. We acknowledge Make.com and n8n where they lead, such as in the breadth of integrations and self-hosting capabilities. Please verify competitor details before making a purchase.
Make.com and n8n require you to design the logic: triggers, routers, branches. Scalan turns a plain-language description into a complete agentic workflow with multiple steps, tool calls, and decision points. You describe the task; the platform creates the employee.
A Scalan AI employee has a name, their own email address, and a presence in Microsoft Teams. Colleagues assign tasks to them just like a new hire, without needing to learn a new app. Node-based automations run invisibly in the background; they never appear as a team member.
The person actually doing the work describes the process themselves, in their own words. No translating requirements for a developer, no weeks of implementation. Most implementations are completed in under an hour, and updates are just another sentence.
Scalan reasons within context. It identifies missing information, uncovers discrepancies, and asks questions before taking action. Rule-based automation silently processes everything it receives, which is fine as long as the input is correct.
Make.com is one of the most powerful workflow automation platforms on the market: a visual scenario builder with a library of over 1,000 app integrations. With someone who knows how to map triggers, routers, and modules, it can automate a huge range of deterministic app-to-app processes.
The catch for most SMEs is the "someone." Our customer interviews repeatedly showed that non-technical teams opened Make.com, felt overwhelmed by the nodes, and returned to manual work. It processes transactions without contextual memory or judgment. Scalan is designed for teams that want the result without the build, handling work within emails and Teams, and asking for confirmation when something isn't right.
n8n is a developer favorite for good reason: it is open source, self-hostable for complete data control, and infinitely extensible with custom code and over 400 integrations. For engineering teams that want to manage their own automation stack, it is hard to beat.
However, this level of performance requires engineering resources. Someone has to host it, build the workflows, connect the AI nodes, and maintain everything when things change—a capacity that most mid-sized SMEs simply do not have. Scalan offers a managed, GDPR-compliant alternative where the workflow is generated and updated from a description by simply telling the AI agent what to do differently. No hosting, no node graphs, no maintenance backlog.
A low monthly license looks cheap until you add the person building the automation, the hours spent on maintenance, and the servers to run it. With Scalan, there is nothing to add: the price is the total cost.
Scalan tiers reflect current list prices. Make.com and n8n license costs vary by plan and usage—the point is that the license is only one part of the total cost of getting the work done.
Bauer Bohrtechnik, a 20-person drilling company in Bavaria, used to spend up to an hour manually creating each invoice. Sandra, the executive assistant, set up an AI employee named Franz by describing the task in just a few sentences, without any nodes or consultants. Now, she simply forwards the signed proof of service via email.
Before sending anything out, Franz compared the signed document with the original customer request and noticed two services—an on-site drainage inspection and a compaction test—that were missing from the work report. Instead of guessing or ignoring it, he wrote to Sandra:
Sandra coordinated with the site manager, confirmed that the drainage work was complete, and Franz updated the total amount and sent the final draft for approval. This closed a potential revenue gap before it became a total loss. No linear Make.com or n8n flow could have achieved this: it required maintaining context across two documents with different dates and considering what was missing, rather than just processing what was already there.
Learn how Scalan works →Yes. Scalan was developed for SME teams who find Make.com and n8n too technical. Instead of building node-based workflows, you describe what you need in plain language and get a virtual AI employee that executes the process for you in emails and Microsoft Teams.
Both can call AI models via modules or nodes, but you design and maintain the logic yourself, and the result executes predefined steps. Scalan generates a true agentic workflow that plans across multiple tools, maintains context, and decides when to act or ask for input, rather than executing a fixed sequence.
No. If you can onboard a new colleague, you can create a Scalan AI employee. There is no node editor, no scripting, and no consultant required. Most initial AI employees are ready to go in less than an hour.
That depends on how you calculate it. Make.com and n8n may have a lower monthly list price, but the actual costs include the time spent building, debugging, and maintaining workflows, as well as hosting for self-managed n8n. Scalan starts at €19 per month all-inclusive, including the AI employee, German hosting, and support.
Yes. Scalan runs on German, GDPR-compliant infrastructure, which is a primary reason why SMEs in the DACH region prefer it over tools hosted elsewhere.
For judgment-based operational tasks like invoicing, HR administration, and document processing, Scalan can completely replace vulnerable node flows. For very broad, deterministic app-to-app connections across many SaaS tools, the platforms can also complement each other.
