ES5 tasks AI already does well in an accounting firm or a service business
Updated October 27, 2026 · NouCodi
In an accounting firm or a service business, a good part of the day goes into tasks that do not need professional judgment: entering data, asking for what is missing, answering the same question again and again. That is where AI already works well today. These are the five tasks where we see the most hours recovered.
1. Reading documents and entering their data
Invoices, receipts, bank statements, contracts or forms, as PDFs or photos: AI can read them and pull out the data that matters (date, amount, tax, supplier, document number) and leave it in a spreadsheet or in your accounting software.
Where you notice it: in the "typing it all in" step, which is often the longest of the month. What a person still does: check what the AI could not read with confidence and reconcile the totals.
2. Drafting
Answers to questions that keep coming back, fee proposals, quotes from a template, reminders or each client's monthly summary. AI prepares the first draft with the data you give it, and a person adjusts it and sends it.
Where you notice it: in everything that is written from scratch every time. In our audits we start from the assumption that an AI draft saves 20% to 50% of that step's time: it does not disappear, because someone has to review it.
3. Summarizing and explaining
A long client email, a recorded meeting, the month-end close or a change in regulations: AI summarizes them in a few lines and can explain them in plain language for the client.
Where you notice it: in client communication and meeting prep. Used well, clients get clearer information without the team spending more time.
4. Sorting what comes in
Emails, documents sent over WhatsApp, requests from the website: AI can sort them by client and type, flag what is urgent and drop it in the right folder or in the right person's queue.
Where you notice it: in the time lost looking for "that document the client sent" and in what goes unanswered because nobody saw it.
5. Asking for what is missing and following up
Reminding clients about this month's documents, flagging an overdue payment or an upcoming deadline. A rule-based automation (no AI) is often enough here, and AI only writes the message so it does not sound like a robot.
Where you notice it: in the hours spent chasing clients. An automatic rule can handle 40% to 80% of that work; what is left is dealing with those who do not respond.
What a person should still do
- Decide and sign. AI prepares; the professional responsibility is still yours.
- Check figures before presenting them. AI can be wrong with complete confidence: anything that goes to a client or a tax authority goes through a person.
- Protect the data. Use AI with business accounts (not personal ones) and put in writing what data can go in and what cannot.
Where to start
Not with the tool, but with the process: look at which task repeats most often each month and how long it takes each time. That is almost always the first improvement that pays off the most. In the audit we do this with your team, process by process, and give you the estimated savings of each improvement with the math in plain view.