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Integrations enhance lender capabilities and ease of use for document processing and income calculation

September 27, 2023Lake Mary & Jacksonville, Florida – Finastra, a global provider of financial software applications and marketplaces, and LoanLogics, a recognized leader in loan quality technology for mortgage manufacturing and loan acquisition, today announced LoanLogics’ IDEA® OnDemand and LoanBeam® Tax solutions have been integrated with Finastra Mortgagebot, an all-in-one mortgage loan origination software for retail, wholesale and correspondent mortgage lending.

The integration of LoanLogics’ IDEA OnDemand, a cloud-native digital assistant for document processing, with Finastra Mortgagebot’s user interface replaces manual document classification and document data rekeying tasks and brings enhanced automation and data accuracy to the mortgage origination process. While processing documents, users are alerted to any data or document that requires further review, allowing them to address exceptions directly within the Mortgagebot platform via API calls to IDEA OnDemand. The integration also facilitates data reconciliation between Finastra Mortgagebot and IDEA OnDemand, using a side-by-side table to compare LOS data with extracted data.

The integration with LoanBeam Tax offers a seamless, efficient, GSE-certified solution for determining qualifying income for self-employed borrowers right from within Finastra Mortgagebot. Leveraging LoanBeam’s APIs, users can upload docs for processing and LoanBeam Tax will automatically extract all income data, check for missing documents and calculate borrower’s qualifying income according to Investor guidelines.

“We are delighted to announce the successful integration of LoanLogics’ IDEA OnDemand and LoanBeam Tax solutions with Finastra Mortgagebot,” said Terrell Cassada, evp, product architecture & innovation at LoanLogics. “Both integrations bring a new level of efficiency, accuracy, and automation to Finastra’s Mortgagebot users, who can use LoanLogics’ advanced technology to streamline processing and underwriting workflows, improve data quality, and enhance the borrower experience.”

“These integrations demonstrate our commitment to providing mortgage lenders the tools they need to excel,” said Mary Kay Theriault, director of product management for Mortgagebot at Finastra. “Users of the Mortgagebot platform can process loan documents through automation and complete one of the more challenging tasks of calculating income for self-employed borrowers with ease. Being able to do both within the Mortgagebot user interface streamlines these tasks while giving borrowers a faster, smoother experience when buying or refinancing their home.”

About Finastra

Finastra is a global provider of financial software applications and marketplaces, and launched the leading open platform for innovation,, in 2017. It serves institutions of all sizes, providing award-winning software solutions and services across Lending, Payments, Treasury & Capital Markets and Universal Banking (Retail, Digital and Commercial Banking) for banks to support direct banking relationships and grow through indirect channels, such as embedded finance and Banking as a Service. Its pioneering approach and commitment to open finance and collaboration is why it is trusted by over 8,000 institutions, including 45 of the world’s top 50 banks. For more information, visit

About LoanLogics

Founded in 2005, LoanLogics is a provider of mortgage audit software, income calculation and verification technology, and document processing automation. This data-driven digital technology improves the transparency and accuracy of the mortgage process and improves the quality of loans. The company’s capabilities and audit services help residential mortgage lenders, servicers, insurers and investors validate compliance, improve profitability and manage risk during the manufacture, sale and servicing of loan assets. LoanLogics leverages the latest methodologies in cloud computing and machine learning technology to deliver greater value for our clients. To learn more, visit