Using RPA in Mortgage Processing
How does RPA help with mortgage processing?
Mortgage lenders process hundreds of applications every day. Mortgage applications are notorious for including lots of data and documentation. Many mortgage lenders have applications that help the process along, but because everything is so manual, they struggle to get data and documents into each application in a streamlined manner. RPA can streamline the mortgage application process by automating interactions between applications, data entry and extraction, and reporting.
Application interaction and integration
One of the most time-consuming activities in mortgage application processing is bringing together all the different applications involved. RPA application integration might include downloading the documents from the system where applicants upload their documents or uploading documentation pulled from the application portal, such as the Blend lending platform, into Mortgage Cadence or another loan origination system (LOS) to retrieve the loan ID.
To ensure accuracy, RPA bots can compare documents from different sources, like an employer-issued document and one issued by the IRS. It can scan documents for errors or missed fields and perform all types of document processing such as copying to multiple applications or multiple file locations, reading and checking ID numbers, totals, and other fields across multiple documents or other data sources.
All types of reporting on the status of the loans can be automated as well, including:
- how many loan applications there are
- where each application is at in the process
Reports can go to mortgage processors as well as borrowers.
Watch our use case video to see a mortgage process automation example between Blend and Mortgage Cadence.
Data entry and extraction
RPA tools can use OCR (optical character recognition) to pull information from the documents and save to an Excel file to create a record of all applications processed. Data can be entered from documents to the core mortgage processing system (Blend, Calyx Point, LendingQB, and others). RPA bots can enter data directly from a database or from public web searches to the core system as well. It can even log in to government portals (county/state tax sites for example) to perform automated data extraction.
Email and FTP automation
Once you’ve processed all the data, you can send all the information using FTP and HTML emails. Instead of manually examining and communicating with each individual borrower, RPA bots can send emails to borrowers asking for information or communicate with other stakeholders during the process automatically. It can send encrypted files to borrowers for confirmation throughout the process.
Expand RPA with Intelligent Document Processing
RPA is a great place to start in streamlining your mortgage processes. But when you combine RPA with machine learning (ML) and artificial intelligence (AI), you can achieve intelligent mortgage automation to further transform this process. Through intelligent document processing, maintain control of critical data throughout the mortgage process for faster and more accurate document processing. Eliminate the costly steps of document classification, manual data entry, and document analysis by using intelligent automation. Bots can review data and do everything from notifying loan officers of problems, ordering necessary services, and reviewing signed loan packages—all without human intervention.
There are so many ways that automation can help with the mortgage process. These examples are just a few of the ways you can streamline and simplify the process at your bank.
In this on-demand webinar, learn how you can use RPA, machine learning, and AI, to achieve intelligent automation that will transform your mortgage processes.