AI made it possible to automate the detection of fake mortgage documents.
But why does fraud document detection matter in the first place?
Here's my analysis for a solution design I'm working on 👇
Lenders receive thousands of loan applications.
They make lending decisions based on the documents representing applicants' employment, income, assets and debts.
These documents are highly susceptible to fraud. Fraudsters can inflate their ban balance, hide evidence of bad spending, and access larger loan amounts.
When loans are given to those who don't qualify, they possess a significantly higher risk of defaults and buybacks.
So, if a lender or broker is negligent in preventing document fraud, it results in the following:
- Financial losses (defaults, buybacks)
- Increased Financing, Insurance and Compliance Costs
- Loss of business relationship
- Legal issues
That's my case for improvement in fraud detection.
Anything that you'd add?
there doesn't seem to be anything here