Mortgage Automation Support Services

Connector

We designed this component to be able to receive inputs from various information sources. Some of the sources that MSuite can receive information from includes -

Email

MSuite can receive information from emails and process it further. If an email has transactional information in the body, MSuite can take this information. If the email has information that triggers other actions, MSuite can read this information and, if needed, can connect with other systems and then process relevant transactions. For instance, if an email is generated due to a new document being uploaded into the LOS/servicing system, MSuite can monitor the email and address the transaction that requires processing.

API Integration

MSuite can receive transactional input through APIs from a wide variety of sources, including servicing systems, LOS, 3rd party vendor systems, and other internal/external systems.

SFTP

MSuite can monitor and track folders in SFTP and begin processing relevant items that have been uploaded there.

Direct Uploads

MSuite also has a provision for users to directly upload transactions that require processing.

Indexing Engine

MSuite's indexing engine has been designed to be robust and address real-world document quality issues. The indexing engine can recognize over 350 types of documents and even those with varied formats. Using a combination of OCR, machine learning, and computer vision, MSuite can classify documents (including those with lower scan quality of up to 150 DPI). This fully automated workflow has an accuracy of over 95% and is one of the best in the industry.

Data Extraction Engine

Lenders/servicers routinely extract data from a variety of documents (collateral, asset, income, closing docs, etc.) to store that data in a digital format on their systems. Accuracy is extremely important here as wrong or incomplete information can hamper the origination/servicing process. MSuite provides over 98% accuracy in data extraction. Exception handling is also provided when data points have an OCR confidence score of less than 90%. However, with digital data, the accuracy is always 100% and there is no need for exception handling.

Rule Engine

MSuite can perform several QA revies and other complex tasks, such as upfront underwriting of files and income calculation. It has an in-built and dynamic rule engine that can seamlessly manage thousands of rules. It is easy to maintain and update according to evolving regulatory requirements and changing business needs. MSuite's rule engine currently can automate many different tasks and thoroughly review files acquired for services and underwriting of specific loan types.

Reporting Engine

MSuite provides detailed and comprehensive reports and trend analyses of all the automated tasks, which is important to track the performance of several distinct parameters. As a top mortgage automation support service providing company, we provide both standard reports as well as customized reports and MSuite can report on almost every data point stored in the system.