CUSTOMER STORIES
BNP Paribas Cardif automates testing for their insurance policy management system
From quarterly to monthly releases
an average of 10 minutes to automate a test
test execution time down to 2 minutes per case
Who is BNP Paribas Cardif?
BNP Paribas Cardif is the global insurance subsidiary of BNP Paribas, specializing in savings and protection insurance solutions. The company partners with banks, financial institutions, and fintechs to deliver insurance products to customers in more than 30 countries worldwide. As a world leader in the creditor insurance market, it is essential to deliver tailored options to the right customers, quickly.
THE CHALLENGE
Limited testing scope
BNP Paribas Cardif rely on hundreds of distribution partners to provide products and services across a variety of sectors, from banking and automotive to retail and telecoms. To do this, their partners use BNP Paribas Cardif’s web-based partner portal to access the organization’s policy management system, developed by Pegasystems.
The availability and quality of these applications is therefore critical. However, as regression testing requirements grew, they QA team struggled to keep up with the mounting workload. This hindered time to market and increased the likelihood of critical errors entering production.
THE SOLUTION
Easy maintenance and usability
With Leapwork, BNP Paribas Cardif have been able to transition to an agile approach, running the regression suite automatically at 3 stages in the delivery pipeline.
Testers don’t need to upskill to write tests with Selenium or spend hours performing manual checks. In this way, testing time has been dramatically reduced, the speed of delivery has increased three-fold, and the QA team can focus on more exploratory work.
THE IMPACT
Full ownership of development and QA activites
By implementing Leapwork’s no-code test automation, BNP Paribas Cardif achieved significant improvements in their testing and delivery processes. The QA team was able to shift to an agile methodology, running automated regression tests at multiple stages of the delivery pipeline, which reduced manual testing efforts and sped up the release cycle.
The average time to automate a test was reduced to just 10 minutes, and test execution time dropped to only 2 minutes per case. As a result, the company transitioned from quarterly to monthly releases, significantly enhancing their ability to respond quickly to market needs. The reduction in manual effort also freed up resources for more exploratory testing, leading to faster time-to-market and greater overall software quality.
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