Mobile applications are becoming more complex, with frequent releases, diverse device configurations, and increasing expectations for reliability and test traceability. Manual regression testing can make it difficult for quality assurance teams to keep pace with these demands.

This white paper presents a framework-based approach to mobile test automation that combines generative AI-assisted development with established automation practices. Built using Python, Appium, and Pytest, the framework brings together the Page Object Model (POM), automated enforcement of Standard Operating Procedures (SOPs), test recovery mechanisms, and integrated reporting.

The approach focuses on making test automation more consistent, maintainable, and easier to troubleshoot. Generative AI supports activities such as creating test cases, developing page objects, and investigating failures, while human review remains essential for validating generated code and maintaining quality.