As digital transformation is sweeping across every aspect of life and business processes are becoming more complex, the software testing function in IT projects has become more crucial than ever. The ever evolving technological solutions and constantly developing business needs are taking software quality assurance to the next level where some burning questions are yet to be answered: Why is software testing still vital to the success of any IT project? Why is it so challenging to perform testing effectively? How will AI shape quality assurance? How to find the best approach tailored to the individual needs of a company? In the quest of finding answers to these questions, most IT professionals quickly encounter the prospect of Testing as a Service (TaaS) as a viable solution. A true TaaS model not only guarantees scalability of resources but also successfully bridges any knowledge gaps in a project. A carefully selected automation strategy combined with the most recent, highly innovative automation testing tools grants a seamless and accelerated testing process. This allows human resources to be utilized for more focused and complex work, so that 'humans can do that computers can’t'. The rapid emergence of sophisticated AI solutions are taking software testing to new dimensions. Leveraging AI in testing enables the combination of existing testing tools, artifacts and processes which will result in better software quality, therefore a better quality of life for all.