PROBLEM #1

: Where is my 10%?

You will need to refresh your 8th-grade Algebra books to understand the first problem. When a system tells you that it is 90% sure about the extracted data, it is also saying that there is a 10% chance that it is 100% wrong. Otherwise said, one in 10 documents that have a 90% confidence score could be completely wrong. Imagine if you took an important financial decision based on this data. For example, you paid out an invoice of $90,000 instead of $9,000! Or approved a mortgage loan for $3 million instead of $300,000.

So, customers usually do not make decisions based on STP documents. They still need teams to verify these documents manually. And that is a costly investment.