Consulting and process review
We walk through the task with the people who do it today and decide with you whether a workflow, an AI agent or a change in an existing system is the better answer. Not every task needs automation.
Services · n8n agency
As an n8n agency we plan, build and run workflows for mid-sized companies. We connect inboxes, file storage, CRM, inventory and accounting, add AI steps where text has to be understood or drafted, and secure everything with approvals, error handling and a log. Hosting is on servers in the EU. For one workflow, first measurable effects usually show after four to six weeks, and live operation is in place after around twelve weeks.
Basics
n8n is a workflow automation platform. A workflow is made of building blocks that run one after another: a trigger starts it, such as a new email, a form or a fixed time, then the blocks read, check, change and write data in your systems. Many services have ready-made blocks, and n8n can call any other interface directly. Where rules are not enough, the workflow calls an AI model that understands a text, classifies a request or writes a draft.
The advantage for companies: n8n can run on your own servers, so the data stays in your environment. Workflows are visible and traceable instead of disappearing into scripts only one person understands. If you want to tackle several workflows at once, our page on AI automation for business gives the overview of use cases, fit and security.
A workflow fits when
Workflow or AI agent?
Services
You can hire us for the whole route or for single parts. Either way you get one fixed contact person who knows your workflow.
We walk through the task with the people who do it today and decide with you whether a workflow, an AI agent or a change in an existing system is the better answer. Not every task needs automation.
We build workflows with a clean structure, error handling and retries when an interface fails. Every workflow has a clear trigger, a result you can check and a handover to your team when it cannot continue.
Classifying requests, reading documents, drafting replies: an AI model takes on such steps inside the workflow. Anything with consequences, such as a payment or a commitment to a customer, only goes out after a person approves it.
We set up n8n on servers in the EU, with backups, updates, monitoring and separate credentials per workflow. We can run the environment for you or hand it over to your IT.
If your automation depends on someone who has left, we review the workflows, document them and close gaps in error handling, permissions and logging.
Your team learns to read workflows, make small changes and interpret error messages. The documentation is set up so your IT or another provider can take over.
Use cases
A workflow brings the most where people today carry data from one system to another. These are the four we build most often.
The workflow collects invoices from inboxes and portals, reads them with an AI step, matches them against purchase order and delivery note and submits a booking proposal for approval.
AI invoice processing →Requests from forms, email and call notes land complete in the CRM, are sorted by topic and assigned to the right person, with a draft reply for standard questions.
AI automation for business →Recurring questions get a draft from your knowledge base, special cases go to your team with the full history.
Customer service with AI →A daily workflow screens procurement portals and funding databases, rates hits against your criteria and puts deadlines in the calendar.
Tender monitoring with AI →Decision guide
n8n is designed so a tech-savvy team can assemble first workflows on its own. The question is less whether you can, and more who runs, maintains and answers for the workflow afterwards.
Build in-house when
Work with an n8n agency when
The two are not exclusive. Often your own team builds simple workflows and we take on the ones with system integration, customer data and AI steps. For when fixed rules are enough and when an agent is needed, see our guide on AI agents and RPA.
Hosting and data protection
Whether a workflow is compliant depends on how it is run, not on the software alone. We settle these points before a workflow touches real data.
n8n runs on servers in the EU, on your side or in an environment we operate for you. We define per step which data goes to an AI model, and where possible we use models processed in the EU.
Each workflow only gets the rights the responsible staff have. Credentials are stored encrypted in n8n, not in the workflow, and kept separate per system.
Every execution can be traced. We set how long execution data is kept to match your retention periods. Data processing is agreed in writing.
For internal use within your own company, the n8n Sustainable Use License allows running it on your own servers. We clarify which edition fits you during the review. More on EU hosting, data processing agreements and access rights in our guide on GDPR-compliant AI agents.
Process
The weeks apply to one well-defined workflow. After each step you know where you stand and decide whether to continue.
01
We walk through the task with your team, collect real examples and set the goal, the metric and the approvals.
02
Systems, rights and data flows are clarified, hosting and data processing settled before the workflow touches real data.
03
The workflow is built and tested on your examples, especially the difficult ones. Exceptions get a fixed handover to your team.
04
The workflow handles real input, your team approves the results. This is where first measurable effects show.
05
Once the workflow runs stably, it takes on more steps by itself. We measure against the targets from step 1 and plan the next workflow.
Everyday example · workflow for incoming invoices
What you contribute
Cost
Costs depend less on n8n than on your system landscape: how many systems are connected, how clean the data is and how many exceptions the task has. A pilot for one workflow is usually in the five-figure euro range with us, plus running costs for hosting, maintenance and, where used, AI model usage.
Before we start, we weigh the benefit against it: hours per week, lead time, error rate. That way you know before the build whether the workflow pays off. Funding programmes for digitalisation can cover part of the cost.
Further reading on cost and funding
FAQ
An n8n agency plans, builds and runs workflows on the n8n platform. With us that means: we map the workflow with your team, build it with error handling, approvals and a log, run it on servers in the EU and hand it over with documentation your IT can work with.
A tech-savvy team can build simple workflows between two services on its own. An agency pays off as soon as a workflow writes to your ERP, CRM or accounting, handles personal data, needs AI steps with approval or has to run reliably every day.
That depends on how it is run, not on the software alone. Running n8n on servers in the EU, with a data processing agreement, limited credentials, a log and retention periods, makes compliant use possible. We settle these points before a workflow touches real data.
A pilot for one workflow is usually in the five-figure euro range with us, plus running costs for hosting, maintenance and, where used, AI model usage. We name the exact scope in a quote after the review.
For one well-defined workflow, first measurable effects usually show after four to six weeks, and live operation is in place after around twelve weeks. In the first weeks the workflow submits its results for approval before it takes on more steps by itself.
Yes. We review existing workflows, document them, close gaps in error handling and credentials and, if you wish, take over operation and maintenance. This is often the fastest route when the knowledge so far sits with one person.
A workflow follows fixed steps you define in advance. An AI agent pursues a goal and decides within its rules which step to take next. n8n can combine both: fixed steps for what must be reliable, an AI step where text has to be understood or drafted.
Guides
Costs, data protection, how agents differ from RPA and how pilots reach production, written from our project work.
Tell us in a 20-minute intro call. Afterwards you know whether the task suits a workflow, whether you can build it yourself and what a pilot would look like.