What we usually automate
Almost any process that today consists of moving information from one place to another is a candidate. These are the ones we get asked for most:
- Supplier invoices: read from email, data extracted, validated against the order, and entered into the ERP. Anything that doesn't match is set aside for human review.
- Orders and delivery notes: captured from email, PDF or a customer portal, entered directly into the system with automatic confirmation.
- Onboarding and offboarding: one form triggers accounts, permissions, equipment and notifications to every department.
- Recurring reports: Monday's report builds itself, with the data already cross-referenced, and lands in the right inbox.
- First-line customer support: ticket classification, answers to repeat questions, and escalation to the right person when needed.
What we build it with
n8n for orchestration
Most flows are built on n8n, which lets you see the whole process on one canvas so your team understands what it does without reading code. It deploys on your own infrastructure, so your data doesn't leave wherever you decide it should live.
Python when you need muscle
Anything that doesn't fit a standard node — an odd transformation, a heavy calculation, an old system with no API — gets solved with Python. It's documented, version-controlled, and part of what you receive.
Agents and AI assistants
When a step needs judgment rather than rules, a language model steps in: interpreting an ambiguous email, summarizing a long conversation, deciding which category a ticket belongs to. Always with clear limits and an escalation path to a person.
A significant part of the savings doesn't come from AI but from plain automation. That's why we start by looking at the process, not the technology: if something can be solved with a rule of three, we don't put a model on top of it.
How we do it without breaking anything
The risk of automating isn't technical, it's operational: a flow that fails silently and nobody notices until the customer calls. We work against that from day one.
Every process runs in parallel to the manual one for a while, comparing results. Once the numbers match for several cycles in a row, the manual process gets cut. Every flow ships with alerts: if something fails, a specific person is notified with the error detail, instead of the process just stopping.
And no automation is left without an owner. Before we leave, someone on your team knows how to log in, see what happened, relaunch a run and tweak the simple cases.
What you walk away with
- The processes running, deployed on your own infrastructure
- Alerts and run logs so you always know what happened
- Documentation for every flow, in plain language, no jargon
- Training for whoever will maintain them
- 90 days of support after launch
How much does it cost to automate a process?
We don't publish rates because no two processes are alike: the figure depends on how many systems need touching, how messy the input data is, and how many exceptions the workflow has. We review yours with you in a free one-hour session, and a fixed quote for your case comes out of that.
Do we need to change software to automate?
No. We work with what you already use. Switching ERP or CRM just to be able to automate is starting the house from the roof, and it multiplies the cost and risk of the project. If your system is limited, we integrate around it.
What happens if the process changes in six months?
Flows are built to be touched: clear names, separated steps and documentation of what each block does. Simple changes are made by your team with the training we provide. For the big ones, we're still here — but with no ongoing retainer required.