Documents become data
Invoices, orders, delivery notes, contracts: the useful fields extracted and entered into the management system, with a review queue for the doubtful cases instead of for all of them.
Services · 04
Automation and AI for business processes
The hours a company loses are rarely inside the big projects. They are in fifty small steps a day: reading an email, re-typing a figure, hunting for an attachment, updating a sheet. Those steps can be removed.
Two projects born from one manual step
No automation of ours starts from artificial intelligence. It starts from a person who re-types the same data into another program every day.
- 20real cases to test a flow before extending it
- 1process at a time, measured in hours saved
- 0company data used to train third-party models
Where the time is actually saved
Four recurring cases, all with the same characteristic: today someone reads a document and rewrites it somewhere else.
Quotes and replies
Draft quotes built from a written request, with price list and conditions already applied. The person reviews and sends: they don't write it from scratch.
First-level support
Answers to repetitive questions (opening hours, availability, order status), with immediate escalation to a human as soon as the request falls outside the script.
Synchronisation between systems
One order, one customer or one price entered a single time and propagated wherever it is needed. No export, no "you update the file".
What works and what doesn't
We are explicit about this, because wrong expectations are the first cause of automation projects abandoned after three months.
It works well when the task has a recognisable input, a verifiable output, and an error margin that stays acceptable with a human check in place. Extracting fields from a PDF, classifying a request, proposing a draft: all of that is reliable and measurable today.
It works badly when the decision is delicate, the information is written down nowhere, or the mistake costs more than the time saved. An automation that gets 5% of quotes wrong is worse than no automation at all, if nobody reviews that 5%.
- Every flow has a human review point until it is proven stable.
- We measure accuracy and time saved on real cases before widening the scope.
- No company data is used to train third-party models.
How it starts
One process
We pick the step that costs the most in hours and in errors. One automation at a time, not a digital transformation programme.
Test on real cases
We test it on twenty cases already handled by hand, with the expected result known in advance. It is the fastest way to find out how dirty the source data really is.
Release with control
The flow goes into use with human review and a log of what it did. If something is off, you see it straight away and correct it.
Extension
Only after the saving has been measured do we move to the next process, reusing components already written and tested.
Frequently asked questions
Does AI replace people?
In the work we do, no: it removes the mechanical steps and leaves people in charge of control, exceptions and the relationship with the customer. If a project's stated goal is cutting headcount, it is not the kind of work we take on.
What happens to our company data?
It stays inside the agreed perimeter: suppliers with documented processing terms, no use of your content to train third-party models, retention limited to what is necessary. The details belong in the contract, not only on the website.
What happens when the automation is wrong?
It has to be visible. Every flow records what it processed and with what outcome, and low-confidence cases end up in a review queue. A silent automation is a risk, not a saving.
How much does an automation cost?
What weighs most is how clean the source data is and how many exceptions exist. A half-day analysis on twenty real cases already tells us whether the saving beats the cost. If it doesn't, we say so there, not after three months of work.
Further reading
AI automation for SMEs: 5 processes to start with
Five automatable processes with a measurable pilot and how to choose the first one.
Close to this service
Custom software
When the process exists in no program at all and has to be built, not merely connected.
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The time an automation frees up only pays if someone then uses it to bring in enquiries.
Industries
Recurring manual steps differ a lot between restaurants, workshops and professional practices.
Which step do you repeat most often?
Write it down the way you would explain it to a colleague. From that description we can tell whether what you need is an automation, a small piece of software, or simply a clearer rule.