English
What customer need does this solve?
Approval work often depends on files: invoices, receipts, contracts, request forms, delivery notes, and scanned documents. When the system only stores files but cannot extract useful fields, people still copy data by hand and recheck the same information repeatedly.
This creates delay and error. It also makes audit work harder because the structured record and the original document may not match.
What the solution should solve
The solution should let users attach documents naturally, store them with the workflow case, and extract important information asynchronously. In the demo, OCR runs after upload so the user can continue the process while the system reads the document.
For the business, the value is not just OCR. The value is connecting documents, extracted data, approval decisions, and audit history in one operational record.
Trade-offs and alternatives
The benefit is less manual entry and faster review. The trade-off is that OCR should be treated as assistance, not absolute truth. Important financial or legal fields still need validation rules, confidence checks, and human review when risk is high.
Alternatives include manual entry, document management without OCR, or a separate OCR tool outside the workflow. Manual entry is simple but costly. Standalone OCR can extract data, but if it is disconnected from approval, the team still has to move information between systems.
Conclusion
Document automation is useful when it stays close to the business process. OCR should reduce repetitive work while the workflow platform keeps context, responsibility, and evidence together.