For two decades, Quality House has been setting standards in software testing and training. All their employees are certified, and many are also trainers, further strengthening knowledge exchange within the team
It is our responsibility to use AI thoughtfully. We establish clear boundaries, implement safeguards, and always maintain human oversight, says Predrag Skoković, Managing Director of Quality House Serbia, emphasising that this approach safeguards trust—the very essence of quality and the currency of the future in business.
How do you prepare your teams and trainees for this new era of AI-driven testing?
— Over the past 20 years, we have cultivated a culture of continuous learning and professional development. Today, as AI reshapes our perception of software testing, this culture is more important than ever.
Our approach has never been about simply adopting new tools but about fostering a mindset capable of understanding and responsibly applying innovations. We regularly update our training programmes in close collaboration with international organisations such as ISTQB and IREB. By carefully listening to the needs of clients and the industry, we ensure that our training and consultancy services reflect contemporary demands and challenges.
If we consider this period the AI era, what matters is not just what we know but how quickly we can adapt. That is why we prepare our teams and clients for both today’s technology and the changes ahead. AI should not be seen as a threat but as an opportunity to develop new business models—and that requires the confidence that comes from knowledge.
What can you tell us about your participation at the annual ETSI User Conference on Advanced Automated Testing (UCAAT)?
— Although Quality House co-organises SEETEST, the region’s largest software testing conference, we see participation in other events as a way to share our expertise and insights. UCAAT is where knowledge and vision, theory and practice come together. As a speaker, I have the privilege of presenting our perspective on one of today’s most relevant topics: the potential application of large language models in automated testing.
AI should not be seen as a threat but as an opportunity to develop new business models—and that requires the confidence that comes from knowledge.
This year’s conference theme—testing in the context of digital transformation— aligns perfectly with our everyday work: ensuring trust and quality in a world where software is developing faster than ever. UCAAT brings together industry leaders from across Europe, providing a unique opportunity to exchange experiences, learn how others approach testing challenges, and, most importantly, learn from one another. Events like these are crucial for industry growth—quality is not built in isolation but through dialogue and collaboration.
What opportunities and risks do large language models present?
— Large language models undoubtedly offer significant opportunities, from interpreting requirements to automatically generating test cases. Their results can seem impressive, but they are not always reliable as they operate on mathematical probability. And here lies the key distinction: testing is not just a mechanical check but a process that requires critical thinking, intuition, and a strong sense of risk. AI can help us work faster, but it cannot replace our ability to recognise nuances, ask the right questions, or sense when something is “off” even if it appears correct on paper.
At Quality House, we view AI as a tool that enhances human potential. By automating routine tasks, testers can focus more on areas that require creativity and expertise. Decision-making, result interpretation, and risk management will always remain in human hands.