Stop on uncertainty
Posting, payment and mismatched documents can require accountant approval.
Automation example
AI invoice processing with OCR
Capture invoices from email or files, extract fields, check them and prepare controlled accounting or ERP records.
In short
Capture invoices from email or files, extract fields, check them and prepare controlled accounting or ERP records.
From trigger to result
A controlled workflow
Collect the invoice and identify the document typeChecked step in the process
Use OCR and document extractionChecked step in the process
Validate supplier, invoice number, date and totalsChecked step in the process
Check for duplicates and relevant referencesChecked step in the process
Prepare the accounting or ERP recordChecked step in the process
Route exceptions to a personChecked step in the process
Systems and data
Email, PDF, OCR, accounting software, ERP and document storage
We confirm the exact interfaces and permissions before implementation.
Human control
Keep evidence
Source documents, validation results and important actions should remain traceable.
Measure the result
Compare human time, errors, rework and exception rate before and after the pilot.
FAQ
Sometimes, but the safe level of autonomy depends on data quality, business rules and the impact of a wrong action.
The standard design is to stop, explain what is missing and route the case to a person instead of guessing.
Next step
Show us one repetitive process.
We will review how it works today, which systems are involved and what can realistically be automated.