AI bookkeeping
AI bookkeeping for accountancy firms.
AI bookkeeping is bookkeeping in which software with artificial intelligence reads invoices and receipts, makes a posting proposal per line and lets a human take a look when in doubt. For a firm that means, concretely: from around 60% processed automatically with classic scan & recognise software to 99%+ with AI, while you stay in control.
Definition
AI bookkeeping: processing financial documents with AI models that understand the content, instead of templates that expect a fixed layout. The AI proposes a posting for each invoice line; the bookkeeper only reviews the doubtful cases.
Also known as: AI bookkeeping software, bookkeeping with AI or bookkeeping robot. Related, but older: scan & recognise software based on OCR and templates.
Honest about the technology
What can AI do in bookkeeping today, and what can it not?
AI is not a magic wand. Anyone who promises that everything happens by itself is only moving the review work to a later stage. This is the honest state of affairs:
This is what AI can do
- Read invoices and receipts at line level, including till receipts, poor scans and invoices with mixed VAT rates
- Learn from your corrections through learning rules per firm, administration or supplier
- Recognise doubt and then put the document to you instead of guessing
- Take context into account: earlier postings, fixed coding agreements and the chart of accounts from your package
This is what AI cannot do
- Post 100% automatically and blindly without a review threshold; a good bookkeeping robot knows when it is not sure
- Take over the bookkeeper's ultimate responsibility; that stays with the firm
- Guess what your firm wants to do with a doubtful case; that is why you record agreements as rules instead of hoping it turns out well
How it works at Agentancy
How does Agentancy use AI?
Four steps, from document to posting in your own package. The result: 99%+ of documents processed automatically, with an average of around 30 seconds of review time per document put to you.
1. Line-level recognition
The AI reads not just the invoice total, but every line separately: description, amount and VAT rate. Including till receipts, mixed rates and layouts it has never seen before.
2. Context per firm and client
Every posting uses the context of your firm, the administration and the supplier: earlier postings, fixed coding agreements and your own rules. You can save a correction as a learning rule with a single confirmation.
3. A review when in doubt
When confidence is high the posting goes through; when in doubt the document lands in your work tray with the question attached. You set the threshold, the AI never guesses quietly.
4. Posting into your package
The posting proposal goes straight into your own accounting package, such as Exact Online, Twinfield, e-Boekhouden, SnelStart or AFAS. Your way of working and your files stay where they are.
Further reading
AI bookkeeping per package and per topic.
Want to know how this works out for your situation? Choose your accounting package or dive deeper into the subject.
FAQ
Frequently asked questions about AI bookkeeping
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