AI Enhancements with Document Recognition (FIS / fci)
FIS/fci Cloud serves as a central entry component for all types of documents – whether incoming invoices, sales orders, order confirmations, delivery notices or payment advices. The solution uses a hybrid approach: a combination of AI-based recognition and classical OCR.
The software was an early example of utilising machine learning technology to train the system with data (i.e. from examples of specific vendor invoices) before automation.
FIS / fci Cloud have enhances recognition using AI
- Document recognition takes place in two phases using a hybrid approach: AI and OCR
- The AI model was trained with over 250,000 documents
- A comprehensive database and the use of machine learning to further train AI recognition
Key Benefits
The Machine Learning engines significantly improved recognition quality – especially for new and unknown document types
- Much shorter processing times
- More efficient recognition rates.











Automated invoice data collection using the FIS OCR document reader
The FIS OCR document reading software (FIS / fci) is a world leading, innovative technology that is used to automatically examine a digital invoice (or other financial document) and collect the required key data with minimal or no human intervention.
The technology generates financial and time savings by reducing the manual workload of accounts payable departments. Data quality is also increased prior to importing it into SAP or other ERP/Financials software.
Using the technology results in less data entry and therefore frees up resource for accounts departments.
The technology collects the content of invoices that are captured as a digital scan or are received as an emailed attachment.
The software offers unmatched recognition rates for invoices, extracting both the header and line-item (position) content.
The OCR technology is normally paired with the FIS / edc (invoice monitor) to post a high percentage of invoices automatically into SAP (ECC 6 or S4HANA) without the need for human intervention (no touch processing).








