Customer stories

    Manufacturing

    SEW Eurodrive case study

    60% time saved. SEW Eurodrive develops their own software with many highly specialized plugins and deeply nested menus.

    Environment

    Manufacturing

    SEW Eurodrive develops their own software with many highly specialized plugins and deeply nested menus.

    AskUI setup

    Vision-first automation

    AskUI enabled the company to create full end-to-end system tests across its entire CI/CD process.

    Measured result

    60% time saved

    30 detailed system tests covering all plugins

    In the world of industrial automation, SEW-Eurodrive stands out as a pioneer-renowned for its commitment to innovation and quality across drive and automation technology for over 90 years.

    The Challenge

    SEW Eurodrive develops their own software with many highly specialized plugins and deeply nested menus. This complexity led to a critical question: How can we test this better? Traditional tools fell short, and performance suffered.

    Before AskUI, SEW Eurodrive only had unit and integration tests. System testing was manual, and the infrastructure for scalable, automated testing simply didn't exist.

    The Solution

    AskUI enabled the company to create full end-to-end system tests across its entire CI/CD process. Today, each of their ~15 specialized plugins is tested via Azure DevOps pipelines, and 30 system tests now cover critical functionality.

    AskUI impressed from the start. It offered excellent performance and a gentle learning curve. Even complex UI scenarios like clicking through 10 nested menus became feasible.

    Results at a Glance

    • System Testing: Automated via pipelines (previously manual, unstructured)
    • Test Coverage: 30 detailed system tests (previously no system tests)
    • Bug Detection: Bugs caught automatically in pipelines (previously many missed post-release bugs)
    • Tool Flexibility: Use of Python and TypeScript (previously manual scripting only)
    • Code Base: 20,000-30,000 lines of modularized test code

    Key Benefits

    ✓ Enables complex system test automation ✓ Flexible scripting with Python & TypeScript ✓ Fast support and product evolution ✓ Delivers real QA value and fewer support issues

    SEW has now relied on AskUI for over three years, and they've seen a decrease in customer support tickets since automation began.

    Results

    Measured outcomes from the deployment.

    • 30 detailed system tests covering all plugins
    • End-to-end automation via pipelines
    • 20,000-30,000 lines of modularized test code
    • Full coverage of specialized plugins
    • Bugs caught automatically in pipelines
    • Major quality gain with fewer support issues
    • Full developer freedom with Python and TypeScript
    More proof

    Other environments AskUI controls.

    Deutsche Bahn

    Deutsche Bahn, one of the world's leading mobility and logistics companies, relies heavily on its Point of Sale (POS) systems to serve millions of customers daily. Previously, their QA strategy for the POS system was entirely manual, leading to excessive time spent on regression testing, inability to achieve desired test coverage, manual testing errors, existing automation frameworks like Selenium being unable to effectively address elements within the app, difficulty integrating testing processes with existing enterprise tools, and challenges in testing applications across multiple Android devices.

    Read story

    FICUS Health

    FICUS Health supports rehabilitation clinics with AI-powered documentation. Yet every clinic still relied on legacy hospital information systems that required manual copying of physician notes and discharge documentation. Care teams spent hours retyping structured reports into the hospital information system, updates were delayed, and incomplete entries risked reimbursement penalties.

    Read story

    Zucchetti

    Zucchetti turned to AskUI to automate testing for their mobile application, overcoming limitations of traditional tools. Their software is a mobile application that runs on a .NET canvas element, where traditional solutions with id-based object recognition like Selenium simply didn't work. Previously, everything was tested manually and always under time pressure. Releases were often rushed, and regression testing was shortened due to lack of time – only new features and critical areas were tested.

    Read story

    We value your privacy

    We use cookies to enhance your experience, analyze traffic, and for marketing purposes.