What Our Clients Say
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PalTech Brings AI-Driven Quality Engineering to Doctor Care Anywhere
Hear from Terry Nweze, Head of Quality Assurance at Doctor Care Anywhere, as he shares how PalTech helped the organization bring AI into its quality engineering environment with a focus on maintainability, reliability, and measurable outcomes.
"At Doctor Care Anywhere, quality engineering directly supports a patient’s ability to access reliable digital healthcare services. Our QA teams were spending two to three hours authoring test cases for each user story while also maintaining automation across web, iOS, Android, API, and backend platforms. PalTech worked closely with our team to integrate Claude with Azure DevOps, TestRail, and our established automation frameworks. Claude supports requirements analysis, structured test generation, and the preparation of automation components such as feature files, step definitions, and page or screen classes. These automation components continue to be reviewed, adapted, executed, and maintained by our engineers within the existing framework."
At Doctor Care Anywhere, quality engineering directly supports a patient’s ability to access reliable digital healthcare services. Our QA teams were spending two to three hours authoring test cases for each user story while also maintaining automation across web, iOS, Android, API, and backend platforms.
PalTech worked closely with our team to integrate Claude with Azure DevOps, TestRail, and our established automation frameworks. Claude supports requirements analysis, structured test generation, and the preparation of automation components such as feature files, step definitions, and page or screen classes. These automation components continue to be reviewed, adapted, executed, and maintained by our engineers within the existing framework.
The measurable benefit has been in test-case authoring, where turnaround time has decreased by more than 90%—from two to three hours per user story to just a few minutes. This has enabled faster QA feedback, improved test consistency, and broader coverage across positive, negative, boundary, and edge-case scenarios, while scripting and execution remain governed by our established engineering and validation processes.