AI expense classification: the right account every time
Before every month-end close, every accounting office and every finance manager faces the same scenario: a pile of “Other costs” transactions and hours of manual coding.
How it works today
Every payment or invoice requires a decision:
- Which cost account does it belong to? (materials, services, utilities…)
- Which cost center? (Prague branch, production, headquarters)
- Which project or job order?
With 50–200 invoices per month that’s hundreds of small decisions. A human makes them, gets tired, makes mistakes, corrects them, loses time.
How AI classification works in Modulario
Step 1: Learning from history
When Modulario is deployed it imports your coding history (from Pohoda, Money S3, or manually). AI learns: how you coded invoices from every vendor, for every type of service or goods.
Step 2: Automatic classification
Every new invoice or payment → AI assigns:
- Cost account (based on local chart of accounts or your custom chart)
- Cost center
- Project/job order (when identifiable from the purchase order number)
- VAT code and rate
Step 3: Confidence scoring
- Confidence ≥ 95 %: automatic posting
- Confidence 80–94 %: shows suggestion, human confirmation with one click
- Confidence < 80 %: manual classification with AI suggestion
What this delivers
Before close: no piles of uncoded transactions. Month-end close from 2 days to half a day.
For controlling: cost center expenses are current in real time, not just once a month after close.
For project management: project costs are visible in real time, not retrospectively.
Example: IT company with 15 employees
Monthly: 80 vendor invoices (cloud, licences, subcontractors), 200 expense receipts (travel, purchases).
- Before AI classification: 4 hours of coding per month
- After AI classification: 20 minutes reviewing exceptions
- Saving: 3.5 hours × 15 €/h = 52.50 €/month
Plus elimination of errors that surface during audits or tax filings.
