Reads documents in context
Electronic invoices are read line by line; seller, quantity, unit and tax breakdown are assessed together.
Accounting no longer runs on folders but on systems. In our office we use automation we built ourselves, an end-to-end electronic document infrastructure and a data security regime. Technology speeds the work up; it does not take the decision or the responsibility away from the professional.
In short: the system prepares the figures, we sign them.
Our own automation
Ready-made software looks at a list of rules written in advance, one per line item, and the same invoice goes to the same account for every taxpayer. Yet the same document should be posted differently for a shop and for a factory. So we did not write a rule list. Our program builds its proposal from what the taxpayer actually does and from their own chart of accounts, writes down its reasoning, and where it cannot be sure it does not post — that line goes to the professional.
A rule list can be bought. A method cannot.
Electronic invoices are read line by line; seller, quantity, unit and tax breakdown are assessed together.
Each file's activity profile and chart of accounts are kept separate. One client's decision never carries to another.
Why each proposal was made is on record, so the answer is ready when the question comes.
A line deviating from what is expected does not post automatically; it goes to approval.
The technology we use
From the arrival of a document to the filing of a return, no step waits on paper. Everything we use was chosen to keep that flow unbroken.
e-Invoice, e-Archive, e-Ledger, e-Waybill and e-Professional Receipt. Documents arrive electronically from source, with no manual entry.
Ledgers are kept electronically and returns filed with an electronic signature. Certification and approval steps are tracked against the calendar.
Ledger, bank and supplier movements are compared by the system. Differences surface during the month, not on closing day.
Every document received is stored permanently and kept searchable. An invoice needed years later is found in minutes.
Data is backed up regularly; the failure of a single machine does not put a file at risk.
Permissions are defined per person and activity is logged. Personal data obligations under the data protection law govern throughout.
Artificial intelligence
AI is not removing accounting; it is changing the accountant's day. Time moves from entering data to interpreting it. That is a good change — but a bounded one.
What changed
What did not change
A model answering confidently does not make the answer right. Unverified output is output that cannot be trusted.
Faced with something new, it tries to fit it to a pattern it recognises. That is why a system must be able to say it does not know.
A tool used without knowing where client data goes breaches the duty of confidentiality.
Our position is this: we use AI not to make the decision but to bring the right data in front of it and separate out what is doubtful. The only thing we let through automatically is a record consistent with the client's own history and carrying no doubt.
The system proposes decisions; it does not make them. Returns are filed under the professional's signature, and responsibility for conformity with documents and legislation rests there.
Let us look at your document volume and chart of accounts and see how much of it can be automated.
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