Benefits of AI in Testing: Efficiency and Accuracy

Here at Mortgage Cadence, we’ve made a significant move into AI testing, revolutionizing our approach to quality assurance. This strategic shift was driven by the need to overcome persistent challenges in traditional testing methods and to position the company at the forefront of technological innovation.

The result is exactly what we expected, greater efficiency and higher accuracy.

The Driving Need for AI in Software Testing

The primary catalyst for this transition was the tedious nature of manually verifying PDF files – a core component of the mortgage documentation process.

With nearly 300 test scenarios to cover for any mortgage loan file, the manual verification of each calculation and value in these documents is not just time-consuming but also prone to human error. The sheer volume of data and the critical importance of accuracy required for mortgage compliance made it clear that a more efficient and reliable solution was necessary.

Recognizing the limitations of manual testing, Mortgage Cadence Quality Assurance/ (QA) leader turned to AI as a solution.

The implementation of AI testing at Mortgage Cadence is not just a theoretical concept. The company has developed a comprehensive platform for testing, complete with customizable scripts and automation capabilities that is in full use today.

The implementation of AI testing tools has transformed our testing process, allowing for automated verification of complex calculations and values within mortgage documents. This shift has not only significantly reduced the time required for testing but has also dramatically improved accuracy.

The Benefits of a New Approach to Testing

The move to AI testing aligns perfectly with the evolving needs of the mortgage industry. As mortgage processes become increasingly digital, the demand for fast, accurate, and reliable software testing grows. By embracing AI in the testing processes, Mortgage Cadence is not only meeting this demand but setting new standards for quality assurance in the industry.

One of the most compelling aspects of this move to AI testing is the ability to execute tests nightly.

This continuous testing approach ensures that any issues or discrepancies are identified and addressed promptly, maintaining the highest standards of software quality. The automation of this process has freed up valuable human resources, allowing testers to focus on more complex, strategic aspects of quality assurance.

This is very useful for internal purposes, especially when our software allows lenders to make changes to suit their own strategies. Every change requires extensive testing, but it has also opened up some interesting new doors.

Our new AI-enhanced testing protocol has made it possible for Mortgage Cadence to offer Testing as a Service (TaaS).

This innovative offering allows the company to extend its expertise to other businesses in the mortgage industry, especially smaller companies that may not have the resources to maintain their own full-fledged testing team.

We’ll be writing more about this in the future. We’re already talking to a number of firms who recognize that our team’s deep understanding of the mortgage industry, combined with cutting-edge AI testing capabilities, allows us to address their unique pain points. Whether you want to learn more about our approach to testing mortgage software or related applications, call us today to find out about solutions that reduce your risk at the same time they increase your efficiency and the accuracy of the data you rely on in your mortgage operation.

By Monika Bhatla, Head of Quality at Mortgage Cadence 

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Media Contacts

Mortgage Cadence: 
Alison Flaig 
Head of Marketing 
(919) 906-9738