AI in accounting — 5 processes worth automating first

What qualifies for AI

Repetitive, rule-based tasks with high document volume and unambiguous expected output. So: not strategy, not audit, not dealings with public authorities.

Five processes that pay off fast

1. Categorising cost invoices. AI looks at the invoice, reads the supplier NIP (Polish tax ID), product category and assigns the GL account. Accuracy above 95% after just 2–3 weeks of training on your data.

2. PO matching. A classic pain point in larger trading companies. AI links invoices to purchase orders based on numbers, amounts and dates — without manual clicks.

3. Duplicate and anomaly detection. Same subcontractor issued two similar invoices three days apart? AI catches it. Amount deviates 30% from historical average? Caught.

4. Semantic document search. "Show me all contracts with Company X for the last 2 years" — AI finds them, even if contracts live in PDFs, on SharePoint, in inboxes. Classic filename search doesn't help here.

5. Management reporting. AI takes data from the system and writes the narrative: "Margin dropped 4% in July vs June, driven mainly by cost X rising." A human just reviews and approves.

Where AI isn't ready yet

• Tax classification of complex transactions.
• Negotiations with counterparties and authorities.
• Strategic advisory (though support, e.g. scenario analysis, is fine).

What it costs

A first agent typically takes 4–6 weeks and tens of thousands of zloty. Payback for a team of 3–5 accountants: 6–9 months. Each subsequent process is cheaper, because the infrastructure is already in place.

We help accounting offices and finance departments roll out AI on top of SharePoint, Teams and Comarch. Want a process audit? A 30-minute call is on us.