AI for accounting and fiduciary firms in Algeria

Every accounting firm we have spoken to describes the same shape of month: a fortnight of receiving, sorting and chasing documents, then a compressed week of actual professional work, then deadlines. The professional work is what you are paid for. The fortnight before it is what makes the work expensive to deliver.

The three jobs worth automating

1. Reading what the client sent

A client sends a folder, a WhatsApp album, or a shoebox of photographs. Someone opens each item, works out what it is, and types the relevant numbers into the ledger.

Document AI does the first pass: identifies the document type, extracts supplier, date, reference, amounts and tax, handles French and Arabic in the same page, and produces a structured line ready for review. It gets some wrong. The point is that it says which ones.

The measure of a good document system is not how often it is right. It is whether you can trust it to tell you when it is not.

2. Knowing what is missing

The most expensive part of the month is often not processing documents, it is the back and forth about the ones that never arrived. A system that knows what a complete dossier looks like for a given client can list what is outstanding, and keep that list current as things come in.

This is unglamorous and it is usually the piece that clients notice most, because the chasing stops being someone's memory and starts being a list.

3. Finding things in the archive

"What did we do for this client in 2019 when the same situation came up?" Today that is a person with a good memory and half an afternoon. With retrieval over your own archive it is a question, and an answer that cites the specific dossier and document it came from, so you can open the original and check it yourself.

Citation is not decoration here. An answer you cannot trace is an answer you cannot use in professional work, which is the whole argument in shipping software to professionals whose work must be exact.

What it must not do

The line is not about capability, it is about who answers for the result. Your firm signs. A system that cannot be held to account should not be producing anything that gets signed without a qualified person reading it first.

Client confidentiality

This is the question that decides the project, and it deserves a straight answer rather than reassurance.

• Ask where the documents go. Any AI system sends data somewhere to be processed. You are entitled to know which provider, in which country, and under what retention terms.
• Ask what is kept. Some arrangements allow zero retention by the model provider. That is a contractual position you can ask to see, not a marketing claim.
• Ask what stays inside. Some parts of the work can run entirely on your own infrastructure. That costs more and it is sometimes the right answer for a firm with sensitive clients.
• Get it in writing. If a vendor will not put the data handling into the contract, that tells you what you need to know.

We will give you these answers in writing before you commit to anything, because a firm that handles other people's financial affairs cannot take a vendor's word for it.

What it costs to find out

The honest starting point is small. Take one client, one month, and one document type. Measure what the current process costs in hours, then measure the same month through the system. You will know within two weeks whether it is worth widening, and you will know it from your own numbers rather than from ours.

That is deliberately a small commitment. A firm that has been burned by software will not, and should not, sign up to a year of anything on a demonstration.