We live in an age where AI and automation dominate every industry conversation, and mortgage is no exception. Most lenders have already adopted some form of automation, especially when it comes to document handling.
But here’s a question:
Is your automation built for mortgage QC?
Surprisingly, the answer is still no for many. Mortgage QC is one of the most critical (and costly) parts of the loan process. Most of the so-called “automation” in use today stops at basic data extraction.
According to the industry report, 63% of lenders use AI for document classification and 54% for data extraction. While the study highlights major adoption of AI for tasks such as online disclosures (88%), borrower document uploads (85%), and dynamic online applications (84%), there were no remarks on the adoption of AI for mortgage QC. This clearly shows that mortgage QC still remains one of the major areas where automation has yet to fully arrive.
That means many teams are still stuck with outdated tools such as OCR, manual document splitting, and constant copy-paste. These tools pull data, sure. But they don’t do anything with it. QC teams need more than just information. They need insights, exceptions, and real-time flags.
True automation won’t even require you to open a document to verify it, and if it’s built for mortgage quality control, it will perform up to 80% of audit tasks. Can your current tools say the same?
While most have automated the basics, only the top 3% of lenders invest in automation that truly supports mortgage quality control.
In this ebook, we’ll show you how to determine whether your current mortgage automation is suited for QC, how true QC automation can scale your efficiency, the benefits of mortgage automation, and how to get started.
So, let’s dive in!
We live in an age where AI and automation dominate every industry conversation, and mortgage is no exception. Most lenders have already adopted some form of automation, especially when it comes to document handling.
But here’s a question:
Is your automation built for mortgage QC?
Surprisingly, the answer is still no for many. Mortgage QC is one of the most critical (and costly) parts of the loan process. Most of the so-called “automation” in use today stops at basic data extraction.
According to the industry report, 63% of lenders use AI for document classification and 54% for data extraction. While the study highlights major adoption of AI for tasks such as online disclosures (88%), borrower document uploads (85%), and dynamic online applications (84%), there were no remarks on the adoption of AI for mortgage QC. This clearly shows that mortgage QC still remains one of the major areas where automation has yet to fully arrive.
That means many teams are still stuck with outdated tools such as OCR, manual document splitting, and constant copy-paste. These tools pull data, sure. But they don’t do anything with it. QC teams need more than just information. They need insights, exceptions, and real-time flags.
True automation won’t even require you to open a document to verify it, and if it’s built for mortgage quality control, it will perform up to 80% of audit tasks. Can your current tools say the same?
While most have automated the basics, only the top 3% of lenders invest in automation that truly supports mortgage quality control.
In this ebook, we’ll show you how to determine whether your current mortgage automation is suited for QC, how true QC automation can scale your efficiency, the benefits of mortgage automation, and how to get started.
So, let’s dive in!
