Answer

How can an accounting firm use AI?

On the document intake, where most of the hours go. Client documents arrive as photos, scans and emails; AI reads them, extracts the fields, sorts them by client and period, and flags what is missing before the deadline. Bank statements are matched to invoices automatically, leaving only the genuine exceptions.

Last updated: 22 September 2026

Chasing clients is the real cost

The work is not the bookkeeping, it is the four reminders needed to get the documents. An automated collection flow that knows which client is missing which document, sends the reminder on schedule and accepts a photo reply, removes most of that chasing and moves the crunch away from the deadline.

Matching and reconciliation

Bank lines rarely match invoices cleanly: partial payments, several invoices in one transfer, a reference typed by hand. Fuzzy matching handles the messy majority and leaves a short list for a person, which turns a full day at month end into a short review.

Answering the same client questions

„What is the deadline”, „what can I account for”, „what do you need from me this month” arrive constantly and have standard answers. An assistant grounded in your own written guidance answers them with the source, and escalates anything that depends on a specific client's situation.

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Does it replace the bookkeeper's judgement?

No. It prepares, sorts and matches; the classification decisions and the responsibility stay with the accountant, and the system is built to present evidence rather than conclusions.

What about clients who send photos of crumpled receipts?

That is the normal input and it works. Anything unreadable is returned to the client automatically with a request for a better photo, instead of sitting in a folder.