An AI automation agency for workflows that keep running.
We connect your CRM, ERP, inbox and spreadsheets so requests, orders and updates move on their own. AI reads and sorts where a rule would break, and a person approves what carries risk. You keep the workflows, the documentation and the alerts, in accounts that belong to your company.
New web form
Julia K., facilities manager
We need 12 extra racking bays for our second warehouse, installed before March. Can you send a quote? Our account number is C-2231.
- 08:12:01Read the request. Product: racking bays, quantity 12, deadline March.
- 08:12:02Found the account in the CRM. C-2231, existing customer, contract discount on file.
- 08:12:04Pulled prices from the ERP. Current price list, discount applied.
- 08:12:05Drafted the quote and a reply to Julia with two installation slots.
- 08:12:06Created the deal in the CRM and assigned it to the account manager.
Waiting for the account manager. The quote goes out only after a person has checked the discount and the dates.
What does an AI automation agency do?
An AI automation agency designs, builds and runs workflows that move data between your software without anyone retyping it, and adds AI where a step needs reading or judgment: sorting emails, extracting fields from a document, drafting a reply. A serious one also delivers what keeps each workflow alive: error alerts, retries, documentation and access rights in your company’s name.
Most automation is plain rules. When a form arrives, create the contact and tell sales. Rules cost almost nothing to run and never surprise anyone, so we use them wherever they are enough. AI earns its place when the input is messy: a free-text email, a scanned delivery note, a request that could mean several things. The workflow then asks a model, checks the answer and hands the doubtful cases to a person.
An automation is judged on the day it breaks. An API changes, a password expires, a supplier sends a new file format. The workflows we deliver catch the error, retry when it makes sense and warn a named person with the failed item in hand, so the failure reaches your team the day it happens, with what it needs to fix it.
The work your team stops doing by hand.
Five workflows companies often ask for, each built on a process they already run, and one real case. The client of the real case is anonymized; sector details are shared in a meeting.
Incoming requests
BeforeQuote requests land in a shared inbox, and someone copies each one into the CRM.
AfterEach request is read, the company looked up, and the deal created and routed to the right salesperson within minutes.
Orders into the ERP
BeforeOrders arrive by email and through portals, and get keyed in twice.
AfterOrders are read, checked against the price list and created in the ERP, held for approval when something differs.
Customer updates
BeforeA delivery date changes in the ERP, and the customer finds out when they call.
AfterThe customer gets the new date by email as soon as it changes, and support takes fewer chasing calls.
Weekly reporting
BeforeEvery Monday, someone exports four files and rebuilds the same report.
AfterThe report builds itself overnight from the source systems and lands in the right inboxes.
Onboarding
BeforeA new customer or employee means ten accounts to open, tool by tool.
AfterOne form starts every step, and a checklist shows what is done and what is waiting.
Real case: a seasonal rental business
BeforePaper diaries, shared Excel files and cash payments, with a crew that changes every summer.
AfterTeam planning by day and by outing, online payment inside the booking flow, offers adjusted to weather or demand, every vehicle of the fleet tracked with its maintenance cycle. Built step by step over ten years; the business became the local leader in its segment.
Every workflow ships with an error alert, documentation and accounts in your name.
Security and dataAn alert when it fails.
Each workflow has an error path that retries when it makes sense and warns a named person, with the failed item and the next step to take.
Documentation your team can read.
What triggers it, what it changes, which accounts it uses, and a short runbook for the usual incidents.
Accounts in your name.
The automation tool, the API keys and the workflows belong to your company. We keep access only for the maintenance you ask for.
Your data where you decide.
n8n can run on your servers or in a European cloud, and Make lets you choose an EU data center. When a tool can only store data outside the EU, we tell you before you pick it.
A tool bill you can predict.
Before launch, you see how the vendor bills the workflow, per run, per step or per credit, and what the bill becomes when volume doubles.
Rule, AI step or a person: who should handle each step?
The first decision in any automation project. Get it wrong and you pay for AI on a simple rule, or trust a rule with a judgment call.
| Criterion | Fixed rule | AI step | Person |
|---|---|---|---|
| Input it handles | Structured: a form, an API, a clean file | Messy: free text, scans, attachments | Anything unusual or sensitive |
| Typical example | An order above a threshold goes to approval | Read an email and find the order it refers to | Grant a credit note to a key account |
| Cost per run | Close to nothing | A model call, billed by usage | Staff time |
| Predictability | Same input, same output | High with checks, never total | Depends on the person |
| When it fails | Stops with a clear error | Low confidence goes to a person | Slower, and accountable |
| Where we use it | Wherever it is enough | Where a rule would break | Approvals and exceptions |
From the process you describe to a workflow in production.
Week 1
Map one process
We follow a real case from start to finish, list the systems it touches and mark each step for a rule, AI or a person. You get a one-page scope and a fixed price.
Weeks 2 to 3
Build and connect
Workflows are built in your accounts, on test data first, with error handling from the first day.
Week 4
Run beside your team
The workflow processes real cases while your team still checks the output. We fix whatever they flag.
After launch
Hand over, or keep us on
Documentation, access and alerts go to your team. Maintenance is a separate option, if you want it.
AI automation: the questions buyers ask us
n8n, Make or Zapier: which one should we use?
It depends on your volume, your data rules and who will maintain the workflows. n8n bills per workflow run and can run on your own servers. Make bills in credits, most module actions using one, and offers an EU data center. Zapier connects the most apps and is the quickest to start with. Our comparison guide sets out their public prices.
Who maintains the workflows after delivery?
Your team, us, or both. Every workflow comes with documentation, an error alert and a runbook, so a technical person on your side can take over. If you prefer, we keep the maintenance: we watch the alerts, follow the vendors’ API changes and fix what breaks.
Does our data leave Europe?
Only if the tool you choose stores it elsewhere. n8n can run on your servers or in a European cloud, and n8n’s own cloud stores data in Frankfurt. Make lets you choose an EU data center when the organization is created. Zapier offers no EU-only storage and covers transfers from the EU under the EU-US Data Privacy Framework.
What happens when an API changes?
The workflow stops at that step and raises an alert instead of writing bad data. Under a maintenance plan, we adapt the step, replay the failed items and record the change in the documentation. Without one, the runbook tells your team where to look first.
Can you take over the automations we already have?
Yes. We start with an inventory: what each workflow does, which accounts it uses, what fails and what nobody understands any more. Then we document, add alerts, fix or rebuild. Sometimes the right move is to merge ten fragile scenarios into two solid ones.
When is an AI agent better than a rule?
When the input varies too much for a rule: free-text emails, documents in many layouts, requests that need context. If a rule can decide, it is cheaper and more predictable. Most workflows we build mix both, with a person approving the steps that carry risk.
What an automation project costs depends on five things.
There is no catalog price, because two workflows with the same name can touch very different systems. You receive a fixed price in writing before we start. The tool subscription is billed to you by the vendor, at its public rates.
Compare the public prices of n8n, Make and Zapier- 01How many systems the workflow connects, and whether they offer an API.
- 02How messy the input is, and whether a step needs AI.
- 03The monthly volume, which drives the tool bill.
- 04Where it must run: the vendor’s cloud, a European cloud or your servers.
- 05The maintenance you want once it is live.
AI automation, by specialty
Everything our automation team builds
- Process automation A whole business process, end to end.
- Invoice processing Supplier invoices read, matched and posted.
- n8n agency The European workflow engine, on your servers or in its EU cloud.
- Make and Zapier Existing scenarios audited, fixed and documented.
- n8n training Your team builds and maintains its own workflows.
- n8n vs Zapier vs Make Public prices and data location, compared.
- RPA vs AI agents Which tool takes each step of a process.
- ROI calculator The hours a workflow gives back, in two minutes.
Which process would you hand over first?
Describe it in a few lines: where it starts, which tools it touches, how often it runs. Within one business day, we reply with what we would automate first and a time for your free 30-minute assessment.