Investment Banking Cover Letter for a Large Financial Institution
in annual savings
Each year, the trade finance field is inundated with thousands of unstructured cover letters, containing critical information such as sending bank data and paying bank data.
Despite previous attempts to automate the extraction of data from semi-structured documents, the accuracy levels required remain elusive. Moreover, the current solution employed by the company falls short of providing the high accuracy necessary for optimal performance.
Large Financial Institution
Streamlining error-prone, manual review of unstructured cover letters
WHAT WE DID
- By indexing and classifying documents at the field level, our model has successfully resolved the error issues that previously required manual review. With our innovative solution, you can now easily classify and extract data from cover letters, while exceptions are automatically routed to staff for further processing.
- With each manual intervention, AYR’s machine learning models become more complete and confident, thereby enhancing the platform’s intelligence and accuracy.