Automating mortgage processing with automation can be essential for lenders to stay abreast of customer needs and cut down on paper-based costs.
Automating the loan process also frees loan teams to spend more time cultivating meaningful customer relationships.
For instance, if an automated process flags information that needs further evaluation, the loan officer can make a note and rework it later on. This helps lenders maintain consistent quality control while confirming loans are being issued to qualified borrowers.
Improved Customer Service
One of the primary worries for both borrowers and lenders alike is a lengthy wait time before their mortgage application is approved. An automated system can reduce this waiting period, enabling you to close more loans faster. This frees up time for other tasks like building relationships with borrowers and their families – something essential in this industry if success is desired.
Your mortgage staff won’t have to spend their valuable time doing repetitive manual tasks that could potentially lead to human errors, freeing them up for more important activities like customer service and product development. Furthermore, you’ll be able to identify which aspects of your home loan processing system are causing most frustration for your staff and automate them for improved quality output.
ABBYY offers a comprehensive suite of home loan processing tools, from process intelligence that can identify which borrowers qualify for mortgages to an advanced document scanning and OCR system that extracts data in real-time. Furthermore, our AI-powered customer service platform offers real-time chat-based support through smart phone apps or web-based helpdesks.
Reduced Risk of Mistakes
Automating your mortgage loan processing system can help you minimize the likelihood of errors. This technology guarantees that all customer information you collect is accurate and up-to-date, eliminating the need to manually review each document entering your system.
Automating home loan processing offers numerous advantages, such as improved customer service, enhanced compliance and increased efficiency. Lenders, mortgage brokers or financial institutions can all benefit from automation which will simplify their processes while keeping them competitive with other lenders.
Lenders often handle a large volume of documents in various formats, which can be time-consuming to manage and inspect manually. Automated solutions like RPA can simplify these processes by performing various tasks such as scanning, OCR and verification on all loan documents before they enter your mortgage process.
Another way that RPA can help minimize mistakes is by flagging missing data. This prevents errors from arising when reviewing mortgage applications or assessing potential borrowers’ creditworthiness. Furthermore, it helps identify high-risk applicants so that action can be taken to keep them from becoming financial obligations.
Automating your home loan processing system can improve profitability by eliminating manual costs associated with manual processes. This includes time spent reviewing documents and additional administrative fees due to short pays, overpayments or other mishaps.
Enhanced Compliance
Mortgage lending institutions must adhere to a range of regulatory and compliance standards, as noncompliance can cost them time, money and reputation. Noncompliance may result in fines, refunds or repurchase of loans; it also tarnishes a lender’s reputation with customers and investors as well as affect credit scores negatively.
Automated loan processing systems give lenders the advantage of improving customer experiences while satisfying all regulatory obligations. Furthermore, these systems reduce errors by automating numerous manual tasks.
Furthermore, an automated home loan processing system can enhance transparency and auditability by offering a streamlined method for collecting and reviewing data. This minimizes the chance for error, guaranteeing accurate information across all systems.
During the loan origination process, borrowers are required to provide information about their finances and assets. This data can be sourced from third-party sources like employment verifications, credit reports and appraisals. It must then be accurately obtained, verified and entered into loan origination systems promptly in order to satisfy all necessary criteria.
Traditional mortgage loan processing requires employees to order and verify data from various vendors, such as credit bureaus or tax preparation services. This adds up to a considerable amount of time that could better be put to other uses such as handling loan applications and creating documentation.
This invention utilizes a server database to process and validate data extracted from a lending institution’s loan origination system using a rule-based expert system. This guarantees that the data adheres to federal, state and local regulations, licensing authorities and lending institution requirements.
A specialized compliance assessment software program extracts data from the client LOS 120 and sends it over a secure communication network to a compliance assessment server. The compliance assessment server contains both an expert system for processing the data as well as a rules database containing rules derived from federal, state and local regulations, licensing authorities and lending institution requirements.
These rules are created based on legal interpretations prepared by an attorney or compliance specialist, who may be internal or external to the entity operating the system 110. These interpretations are provided in plain English and converted to an XML rules file for use by the compliance assessment system.
Increased Efficiency
Home loan processing is a complex undertaking that necessitates meticulous planning and meticulous attention to detail. When done correctly, lenders can serve customers faster and more effectively while improving customer satisfaction scores and Net Promoter Scores (NPSs).
Automated loan processing systems are capable of digitizing, indexing and organizing mortgage documents in a secure and unified fashion. Furthermore, these automated workflows simplify the process and eliminate bottlenecks.
Automation technology can also be employed in credit decisions and risk assessment for customers, helping lenders reduce staff costs and boost productivity.
Automation not only saves money, but it can also free employees from tedious tasks that are not essential for the successful completion of a mortgage application. Lenders can focus on core processes necessary for regulatory adherence while still saving time on non-essential tasks.
For instance, an automated loan process may be able to scan and compare income data from multiple sources in order to assess whether a potential borrower is financially capable of repaying the loan. It also compares this information against lender-required minimums and flags any discrepancies early on for review by an underwriter.
Automating the mortgage process allows lenders to customize it according to their unique applications and workflows. For instance, automated software can be programmed to screen applications for loan officers that specialize in each one; this enables lenders to move quickly through the lending process and avoid missing out on opportunities.
This technology can also be utilized by non-traditional mortgage applicants who submit bank statement mortgages or have diverse income portfolios. Its scalable nature enables it to be quickly adopted by lenders of any size, while its efficiency helps them reduce operational costs and boost speed to market.
According to a study from SourceMedia Research, financial institutions that rely on manual processes spend an average of more than $100,000 each month fixing compliance and processing errors! These errors can cause major delays throughout the entire process.
Automating the loan process helps lenders cut costs by using a software solution that integrates with their existing systems, enhances data quality and provides an extensive overview of each customer’s journey. This enables them to serve more customers in less time, boost revenue and boost NPS scores.
