Modern Lenders Require Mortgage Software That Not Only Works With Them, but Work for Them!

ELSA, an industry-first intelligent assistant, achieves a new standard in mortgage software by leveraging machine learning to enhance the entire origination process —  from marketing to closing.

By leveraging artificial intelligence through their mortgage software, lenders can now efficiently market, gather borrower information, render decisions, automate time consuming tasks, produce compliant loans in a secure environment, and close in as little as 20 days. ELSA learns and adjusts to any origination model, providing lenders with a flexible solution that can be easily configured to attain optimal work flow. By shifting the administrative lift to ELSA, lender origination teams are freed to focus on the most important aspect of loan origination, creating a memorable customer experience and developing new business relationships.

Generic chatbots can never meet the needs of a complex industry. ELSA is different. Designed for financial services, she understands the needs of the lender’s team and the borrowers the company services. Ask her for details about a document and she’ll know what you’re talking about, providing contextual support that moves the process forward. Tell her you need a status update on information your borrower was supposed to provide and she’ll tell you what has been delivered. If one of your processors skips a step, ELSA will alert them and explain the error. Best of all, she will make it clear to your customers — in plain language — that you care about providing the best possible experience to every consumer you serve.


Lenders making the switch to ELSA quickly realize that FinKube’s mortgage software is packed with powerful features designed to augment human experts, including:

  • Natural language processing
  • Multi-language support
  • Dialog customization
  • Quote filtering customization
  • Information validation
  • Platform independent
  • Human touch, (conversation AI) and with Elsa lenders can stay current and timely in their interactions