Implementing continuous automated testing can save time and energy by finding errors early on and reducing project costs. To achieve this, developers should ensure the quality of their code by writing and compiling it, analyzing for syntax errors, reviewing and fixing bugs, and integrating modules. They should also test on their own, writing unit test cases to cover all aspects of a feature, and use frameworks like Pytest or TestNG. After committing code, automated testing orchestration can be triggered through CI tools, building, deploying, and testing the build, and executing smoke/sanity UI tests. The process should be simplified for stakeholders by sharing test results in their preferred format, and monitoring the complete process to detect system errors and network issues before they impact business productivity.