A large commercial bank creates a loan risk rating based, in part, on data from the client firm’s financial statements and annual reports. If the loan risk is high, then the bank takes action to address issues.
The bank uses data from annual reports, financial statements, tables, and unstructured documents to assess portfolio risks.
It needs to extract data, cross-reference, generate insights, and report, but the documents’ complexity means the bank needs to use skilled staff to accurately complete these tasks. It’s a slow and costly process.
Read the use case to learn how the bank:
• Reduced time to assess financial risk.
• Increased process scalability and ability to handle demand peaks.
• Freed up business analyst time to work on higher-value tasks.
Infrrd. Redefine Possible.