To provide a strategic advantage, business processes are naturally turning towards Robotic Process Automation. Here the application of technology is governed by intelligent automation using AI which can supercharge the automation efforts. Given its capabilities, AI is a natural partner for automation efforts. It brings with it the capability to analyze huge volumes of data and automate routine tasks faster. In fact, McKinsey estimated that AI can automate almost 45% more of any task.

These days it seems that testers and QA Engineers are forced to confront a host of new challenges, with solutions lacking or hard to implement. With the demand for new features and code changes being continuously incorporated, the code becomes increasingly weak. Teams risk releasing a sub-optimal or non-functional product. Therefore, each time the development team works on existing code, new tests have to be carried out to ensure the code is not on the verge of breaking. Traditional approaches to testing can overwhelm QA engineers.