Repetitive work, handled by automation.
Orders, emails, invoices, reports, approvals: we connect the tools you already use and automate the steps that never change. Where a document needs reading or an email needs understanding, AI steps in. People check and decide.
- Connected to your tools
- EU servers
- Approvals where they matter
Hours of work nobody counts
Copy, paste, forward, double-check: repetitive work grows with the company, and takes time from the things that matter.
"I'll copy it into the system."
The same data is typed by hand into several tools: email, Excel, management system, CRM. Every step is lost time and a chance for errors.
"I'm waiting for approval."
Purchase requests, holidays, quotes: approvals bounce around by email for days and nobody knows where they stand.
"I do the report on Fridays."
Every week someone spends hours gathering figures from different tools to build the same report.
What process automation is, in plain words
A workflow that runs the unchanging steps on its own, and asks a person only when it really needs to.
Every company has tasks that always follow the same pattern: an order arrives and has to be entered into the management system, an invoice arrives and has to be logged, at the end of the week someone builds the same report. The work is simple, but it eats hours and is a constant source of typos.
An automation runs these steps by itself: it starts when something happens (an email, an order, a submitted form, a set time), takes the data, checks it and sends it to the right tools. It works day and night, always the same way.
Classic automations only work with tidy data. With artificial intelligence they can also read a PDF, understand what a badly written email is asking or pull the data out of an invoice. And when something doesn't add up, they stop and ask a person.
The differences, side by side
| Capability | Manual work | Classic automation | Automation with AI |
|---|---|---|---|
| Works at night and at weekends | No | Yes | Yes |
| Handles tidy data (forms, orders) | Yes, slowly | Yes | Yes |
| Reads PDFs, emails and handwritten documents | Yes | No | Yes |
| Typing errors | Frequent | None | None, with data checks |
| Asks a person when something doesn't add up | Depends | Rarely | Yes |
| Keeps track of every step | No | Yes | Yes |
What can be automated
The areas where automation saves the most time. We always start with the process that weighs most.
Data between tools
Orders, customers and products moving between e-shop, CRM, management system and Excel with no double entry.
Incoming documents
Invoices, orders and PDF forms read automatically: the data lands in the right tool, ready to check.
Emails and notifications
Emails sorted by topic, standard replies prepared, alerts to the right colleague on Slack or Teams.
Approvals
Requests that reach the right person with all the data, approved with one click and logged.
Reports and dashboards
Figures gathered from several tools and reports ready every morning or every week, with no manual work.
Onboarding customers and colleagues
Accounts, documents, welcome emails and tasks: every new customer or hire follows the same path, with nothing forgotten.
Where artificial intelligence is needed
Not every automation needs AI. We use it only in the steps that require understanding text.
Reading documents
Extracts data from invoices, orders and forms in PDF or as photos, even when every supplier uses a different format.
Understanding and sorting
Understands what an email or message is asking and routes it: order, complaint, quote request, invoice.
Writing drafts
Prepares replies, summaries and descriptions from the data, for a person to check.
Spotting anomalies
Flags out-of-range amounts, missing data or unusual requests before they reach your tools.
When a step doesn't require understanding text, we do it without AI: it's faster, cheaper and more predictable.
Automation examples
Typical situations, with the workflow that solves them.
Shop orders
Today
Every order is copied by hand into the management system and someone emails the warehouse.
The workflow
New order โ data check โ management system โ email to the customer โ warehouse alert
What changes
Orders logged in seconds, with no typing errors.
Supplier invoices
Today
Invoices arrive as PDFs by email and are entered by hand, one by one.
The workflow
Email with PDF โ AI reads the invoice โ amounts checked โ entry waiting for approval
What changes
People check and approve instead of retyping.
Website enquiries
Today
Website forms land in a shared inbox and someone forwards them by hand.
The workflow
Form submitted โ CRM โ assigned to a salesperson โ reply email
What changes
Every enquiry logged and assigned in seconds.
Internal approvals
Today
Purchase and holiday requests travel by email and get lost among messages.
The workflow
Request โ manager on Teams or Slack โ one-click approval โ logged
What changes
Fast approvals, with a record of who decided what.
Weekly report
Today
Every Friday someone gathers figures from three tools and pastes them into Excel.
The workflow
Every Monday at 8 โ data from CRM, management system and shop โ report โ email to the team
What changes
The report is ready before the week begins.
New customers
Today
Each new customer means creating accounts, folders and tasks by hand, and something always gets forgotten.
The workflow
Contract signed โ folder and account โ welcome email โ tasks for the team
What changes
Every customer starts on the same path, with nothing forgotten.
It works best on processes that are frequent, always the same and easy to measure. If your process changes every time, we'll tell you in the Discovery.
How we build an automation, in 5 steps
From today's process to a workflow that runs on its own.
We map the process
With the people who do it every day we go through every step, exception and tool involved. Unnecessary steps often show up right here.
We design the workflow
We define what the automation does, where AI is needed and where a person must approve. We review it together before building it.
We connect the tools
We use existing connections or build new ones. Access is limited to what the workflow needs.
We test with real data
We run the workflow on real cases, exceptions included, before putting it into production.
We launch and monitor
The workflow goes live with monitoring on: if something gets stuck, we know straight away, and so do you.
Every workflow is delivered with its documentation: what it does, when it runs, who it alerts if it stops.
Reliable, controllable, yours
An automation has to work even when things don't go as planned.
Alerts when something gets stuck
If a tool doesn't respond or a value is wrong, the workflow stops and alerts the right person, without losing anything.
Approvals where they matter
Payments, large orders, sensitive data: the automation prepares, a person approves with one click.
A log of every run
Every run is logged with the data used and the result. You can always reconstruct what happened.
Servers in the European Union
Workflows run on OVHcloud servers in European data centres, or in your private cloud or on your own servers.
Minimal access
Each workflow only reaches the tools and data it needs, with dedicated, revocable credentials.
Documented and yours
You get the documentation for every workflow. If one day you want to run it in-house, you can.
The tools we use
We choose the tool to fit the process, not the other way round.
n8n
Our main tool. It can be installed on EU servers, so data stays under control, and it handles complex workflows too.
Make
For visual workflows and quick connections between widely used cloud services.
Zapier
When the company already uses it or simple connections between popular apps are enough.
Custom code
When volumes are high, tools have no ready-made connections or maximum reliability is needed.
If you already use one of these tools, we start from there.
Start small. You decide whether to continue.
We begin with the process that weighs most. After each phase you have something that works and decide whether to go on.
1. Discovery
1 week ยท freeWe map the repetitive processes, estimate the time they cost and choose which one to start with.
What you get
Processes ranked by priority, cost and time estimate
2. First workflow
1-3 weeksWe build, test and launch the automation for the chosen process.
What you get
A working workflow, with documentation and monitoring
3. Extension
in 2-week blocksWe automate the other processes in order of priority, one at a time.
What you get
New workflows every two weeks
4. Operations
ongoingMonitoring, updates when your tools change, small changes to the workflows.
What you get
Monthly report on runs, errors and time saved
Each phase is ordered on its own: after the first workflow you decide whether to continue.
How pricing works
The cost depends on how many processes, which tools and how many steps. That's why we work like this.
The Discovery is free
We map the processes and tell you which ones are worth automating. No commitment.
Fixed price for each workflow
You get the price of each workflow before we start. It doesn't change along the way.
You decide workflow by workflow
We start with the process that weighs most. After each workflow you decide whether to continue.
Transparent running costs
Hosting, tool licences and maintenance come with a clear fee. Pay-per-use AI costs are passed through at cost.
When automating isn't worth it
We'd rather tell you upfront than sell you a project you don't need.
Rare processes
If a task happens a few times a month, automating it costs more than the time it saves.
Processes that change every time
If every case is different and needs a decision, it needs a person. Automation can at most prepare the data.
Processes that don't work
Automating a messy process only makes it faster at going wrong. We simplify it first, then automate it.
Tools with no access at all
If a tool offers no way to read or write its data, an automation can't connect to it. We check this in the Discovery.
Frequently asked questions
Looking for something different?
How many hours a week does your team spend copying data?
In the free Discovery we map the repetitive processes and tell you where to start. If automating isn't worth it, we'll tell you.