AI agents for accounting practices
The work that repeats every day, done ahead of you and handed over ready to approve.
Why an accounting practice gains from an agent
In an SME in this field, much of the day goes on tasks that repeat: reading, sorting, digging for history and writing again what has been written before. An AI agent does that part and hands it over prepared. It does not replace the tools an accounting practice already uses — it works inside them.
What an agent actually does
These are tasks that repeat every single day in an accounting practice:
- 01Receive documents by email and identify which client they belong to
- 02Separate what is complete from what is missing
- 03Draft the request for what is missing, client by client
- 04Flag deadlines as they approach
- 05Summarise at day's end what came in and what is outstanding
In every one of them the agent prepares and a person approves. That boundary is what makes it reliable.
It connects to what you already use
No need to change tools. The agent works over the systems you already have, with the permissions that already exist:
And a wrong entry?
The agent posts nothing. It prepares, organises and proposes — an accountant always validates. That boundary is what makes this usable in a practice.
What this looks like in practice
We have not published a case in this sector yet. We have published two from other sectors, in full detail — the agents implemented, the platform chosen and how the data was handled.
Read the published casesFrequently asked questions
It works best when you start with a single process. You do not need to be a large company — you need one task that repeats every day and costs someone time.
No. The agent connects to what you already have — Microsoft 365 (mail and calendar), SharePoint and OneDrive, Accounting software — and works inside it.
No, and that is deliberate. The agent drafts the reply; your team sends it. That is the difference between a tool you can trust and one that some day says something foolish in your name.
Beyond implementation there is a monthly usage cost that almost nobody mentions up front. We estimate it per use case before starting, so you know what you will pay every month.
The agent posts nothing. It prepares, organises and proposes — an accountant always validates. That boundary is what makes this usable in a practice. If the assessment says it does not pay off, we say so.
Start with one process, not a revolution
Pick the task that repeats most in your day. We measure what it costs today and tell you frankly whether automating it pays off.
How we implement
The method, the connectors, what it costs to run and when our answer is that it does not pay off — it is all on the main AI agents page.
See AI agents for business- Over 25 years of IT experience
- The agent prepares, the approval is always yours
- The agent respects the permissions you already have in place
- Connects to the systems you already use
Need any clarification?
Tell us your challenge. We reply quickly and with no commitment whatsoever.
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