Manual document processing is time-consuming and inefficient
Entering and sorting documents manually increases costs and the risk of errors.
The most frequent problem of traditional document processing:
Time consumption
Employees spend hours on manual data transcription. This process becomes inefficient and costly with large volumes of documents.
Frequent errors and inconsistency
Entering data manually leads to typos, wrong categorisation and financial losses. Automation eliminates this problem.
High operational costs
Processing data manually requires more workforce, which increases wage and training costs. Automation can significantly reduce the costs and accelerate the processes.
Automated document processing increases the efficiency and accuracy.
How does it work?
Automatic receipt of documents
Documents can be sent for processing directly on multifunctional devices, by a mobile application or a web platform.
OCR technologies and data extraction
Optical character recognition (OCR) converts paper documents to a digital text, while AI analyses and extracts key data (for example amounts, names, dates).
Smart sorting and indexation
Models of machine learning automatically categorise and index documents them for easy search.
Verification and validation
The system will highlight discrepancies for human review. The user will see the original text and extracted data in one place.
Integration with existing systems
It automatically interconnects the processed data with ERP, CRM and other business systems.
