Accountants at small and mid-sized Bulgarian businesses spend an average of two to three hours a day entering invoices manually. They photograph a paper document, open the accounting software, retype the supplier name, invoice number, date, amount, VAT — line by line. Then do it again for the next invoice.
This work does not require accounting expertise. It requires patience and attention to detail. And it consumes hours that could go toward actual accounting.
What an AI assistant for invoice automation actually does
The process is straightforward: photograph the invoice with your phone and send it to Telegram. The AI assistant reads the image using Claude Vision, extracts the structured data — supplier, invoice number, date, line items, VAT, total — and writes it directly to the accounting software import folder. The whole thing takes under 30 seconds.
It works with Bulgarian invoices: Cyrillic text, BGN amounts, date formats like “12.05.2026”, multiple VAT rates. No translation or manual intervention needed for standard documents.
How accuracy is verified
Not every invoice is the same. Poor lighting, an unusual supplier font, a handwritten amount in the corner — these cases need attention. That is why the assistant is built with a confidence-gating mechanism:
- High confidence (≥85%): the invoice is uploaded automatically. You receive a Telegram message: ✅ Invoice #1042 from Supplier Ltd — BGN 1,240. Uploaded.
- Low confidence: the assistant shows you the extracted fields in Telegram and asks whether everything is correct. You confirm or correct — only the fields it is unsure about. After confirmation, the invoice is uploaded.
The result: no invoice enters your accounting software without human approval when there is doubt. Automation applies where it is reliable. Control stays where it belongs.
Integration with accounting software
The assistant is built to work with Плюс Минус (Plus Minus), the accounting software widely used by Bulgarian SMB operators and accounting firms. It generates an XML import file in the correct format and writes it directly to the software’s import folder — a local directory, network share, or SFTP. The next time you open the accounting software, the invoice is already there.
You do not need to change how you work. The accounting software stays the same. Manual entry disappears.
What this means in practice
At 40–60 invoices per month, each processed manually in 3–5 minutes, that is 2–5 hours of lost work time. At higher volumes, considerably more.
Beyond time: transcription errors. A transposed digit in the total, the wrong VAT rate, a misspelled supplier name — each one requires investigation and correction. The AI assistant reads from the original document every time, without fatigue, without the errors that come from repetitive manual work.
What it does not do
The assistant does not replace the accountant. It does not handle bookkeeping decisions. It does not categorise expenses. It does not provide tax advice.
It does one thing: reads invoices from photos and imports them into accounting software without manual entry. That task — mechanical, repetitive, and error-prone — is precisely where AI works reliably.
What the rollout looks like
We start with 20 real invoices from your suppliers to measure accuracy on your specific documents. The process runs over four weeks:
- Week 1: process test invoices, measure accuracy by supplier type
- Week 2: configure the adapter for your version of the accounting software and the path to the import folder
- Week 3: end-to-end testing with a real accountant on Telegram, tune confidence threshold
- Week 4: shadow run — the assistant and accountant process the same invoices in parallel, compare results
Minimum accuracy target before go-live: 95% field accuracy on high-confidence extractions.
Privacy and data handling
Invoice photos are stored only on your server. The Claude Vision API receives image bytes for extraction only. Original photos are deleted after 30 days (configurable). No document is sent to a third party beyond the extraction step.
The assistant qualifies as invoice automation AI Bulgaria businesses can use today — built on established infrastructure, running per-client on dedicated hardware, and maintained by a Bulgarian team.