Many employees spend hours typing data from documents into systems. AI document processing reads documents, extracts the relevant information and sends it where it's needed.
Documents that can be automated
- Supplier invoices
- Delivery notes and order confirmations
- Application forms and contracts
- Receipts and expense reports
- Customer emails and requests
How it works
- Capture: documents arrive by email, upload or scanner.
- Recognition: OCR and AI models read text, tables and handwriting.
- Extraction: fields like supplier, date, amounts, VAT and line items are identified.
- Validation: checks against master data (does the supplier exist? does the total match?).
- Human review: uncertain cases go to a person for confirmation.
- Export: data flows into ERP, accounting (for example DATEV) or workflow systems.
Email triage
AI can classify incoming emails (order, complaint, question, invoice), extract key details and route them to the right team – or draft a reply for review.
Accuracy
Modern AI handles varied layouts well, but no system is perfect. The combination of confidence thresholds and human review delivers high accuracy while still saving most of the manual work.
Benefits
- Faster processing and payment cycles
- Fewer typing errors
- Staff focus on exceptions instead of routine
- Better searchability of documents
Compliance
For tax-relevant documents in Germany, archiving must follow GoBD rules. E-invoices (XRechnung, ZUGFeRD) can be processed directly without OCR.
Getting started
Begin with one document type and a high volume. Measure processing time before and after, then extend to more document types.
We build document automation pipelines integrated with your existing systems.