Where AI saves real hours in a firm
Not in the technical part of your profession, which is what clients pay you for. In the administrative part surrounding it, which consumes time without producing professional value.
Classifying what arrives. Invoices, contracts, payslips, correspondence from the authorities, documents sent by clients in every imaginable format. A system that recognises what something is, which client it belongs to and where it should be filed removes a job that today somebody does, every day.
Searching the archive. A letter from two years ago, a clause in a contract, a client document nobody can find any more. Searching inside the firm’s documents returns the exact point and the source.
Preparing recurring correspondence. The client letters that repeat, requests for missing documents, reminders. A draft already set up rather than a blank page.
Summarising long documents. A set of accounts to read, a contract received, a circular. The summary says where to look.
The constraint that matters: you hold the keys to hundreds of companies
This is the difference between an accounting firm and almost every other organisation. The data you handle is not yours: it belongs to hundreds of businesses who entrusted it to you, and your responsibility towards them remains yours even when you use somebody else’s tool.
That has three practical consequences.
The tool must not learn from your documents. Services free to the public may use the content entered to improve the models. The check is made by reading the contractual terms and asking in writing, not by trusting the marketing page.
Access has to be set by client. If the assistant searches the whole archive, anyone using it reaches documents belonging to businesses they do not act for. The system has to respect the same permissions the person has.
Every consultation has to be logged. It is a protection for you before it is a compliance matter: if a figure turns out to be wrong, or something leaves where it should not have, the record says what happened.
What AI must not do
It does not do the arithmetic. Language systems are not calculation tools: they can produce wrong numbers with the same confidence as right ones. The calculations stay with the practice software.
It does not decide. It prepares, searches, proposes. Professional responsibility does not become delegable because the text came from a system.
It does not receive everything. There are documents that should not be entered into any external tool, and the list has to be written beforehand rather than left to the judgement of whoever is in a hurry at month end.
The calendar decides when work can happen
An accounting firm does not have a steady workload: it has predictable and immovable peaks. From that follows an operational rule that applies to AI as to any other change: new things are introduced away from the deadlines.
It is also why AI pays off more in a firm than elsewhere. In the peak weeks the bottleneck is not technical competence but the time spent sorting documents, chasing missing attachments and answering repeated questions. That is exactly the part that can be made lighter.
How we do it
First we look at what is already happening. In almost every firm somebody has already started on their own, pasting documents into a public service. The first step is not to ban: it is to know.
Then the archive gets put in order, where needed. A document assistant works well over documents organised with some logic. That work is worth doing anyway, with or without AI.
Then we write one page of rules: what may be entered, who checks, with which tools.
Finally we train the people who will use it. The mistake that costs most is not technical: it is the person who, in good faith, pastes a client’s accounts where they should not have.
The rest of the firm’s IT
An AI project only holds up if there is order beneath it: individual logins rather than one shared account, client credentials kept in a manager rather than a spreadsheet, backups that genuinely restore.
See also IT, AI and security for accounting firms, AI for professional firms and AI Act, GDPR and AI governance.
The first step
An analysis of the firm’s document flows: where time is lost, which activities genuinely lend themselves to AI, and what is worth putting in order first. Free and without obligation.