Upcoming Webinars
InspireXT Enhances Oracle Cloud Testing with SmartBear TestComplete
The opportunity InspireXT is a global consulting firm supporting regulated industries like pharma and retail, helping teams modernize and optimize their supply chains using Oracle, Salesforce, and custom-built solutions. But with Oracle Cloud updates arriving on a fixed quarterly schedule, InspireXT needed a more scalable way to validate changes, reduce risk, and maintain test coverage – without increasing manual effort. They chose SmartBear TestComplete for its flexibility, scalability, and
CASE STUDY
TELUS Transforms QA with Reflect: Accelerating Automation from Years to Weeks
The opportunity TELUS is a Canadian technology leader and AI innovation pioneer. As their organization scaled, they faced growing challenges in QA – including reliability, adoption, and the ability to expand automation efficiently across teams. To move faster without sacrificing quality, TELUS built on its existing use of SmartBear Zephyr and selected Reflect for its no-code automation, self-healing tests, and
CASE STUDY
Infor PSSC halved release times with AI-powered no-code test automation
Results 60% reduction in manual testing time Freed the QA team to focus on complex cases requiring human judgment. 50% faster release cycles From two weeks to one week. 40% increase in test coverage Reduced post-release defects by 30%. The Problem Infor PSSC, a global software and technology solutions provider headquartered in New York City,
CASE STUDY
Capgemini accelerates restaurant client’s POS releases with AI-powered test automation
Results 50% reduction in manual test time Freed testers to focus on more complex scenarios. 20% faster release cycles For payment integrations, loyalty programs, and UI enhancements. Empowered teams To create automated tests without coding knowledge. The Problem Capgemini’s automation team was responsible for ensuring seamless performance of point-of-sale (POS) systems for a major quick-service
CASE STUDY
Center for Sustainable Energy optimizes testing with AI-powered no-code automation
Results 90% Frontend regression coverage Refocused the team’s efforts on back-end verification and functional changes. Expanded bandwidth For automating four new client requests while supporting eight existing clients. Enhanced productivity The three-person QA team delivered a brand-new product while managing multiple client requirements. The Problem Center for Sustainable Energy, a nonprofit accelerating clean transportation and
CASE STUDY
Pepper Money capitalizes on AI-powered no-code automation
Results 50% faster regression testing time Met tight release deadlines without sacrificing quality. Reduced dependency on developer resources Empowered non-technical users to contribute to test automation efforts. Improved productivity Enabled greater agility and a refocus on strategic initiatives. The Problem Pepper Money, a consumer finance company specializing in lending and residential mortgages, needed a testing
CASE STUDY
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