Systems | Development | Analytics | API | Testing

Complexity doesn’t just "go away" because of AI. Watch to find out how to connect your existing test environment to the power of AI to get REAL work done. The future of software quality is here.

Testing at the speed of AI is no longer a goal. It's here. Introducing Katalon True Platform: built for every tester, powered by AI, designed for quality at scale. Why Katalon True Platform? Don’t let your testing be the bottleneck in an AI-driven world. Deliver quality software with confidence.

What makes Katalon stand out is its tester-first approach to AI. Instead of chasing flashy demos, Katalon has spent years co-developing AI capabilities with customers, focusing on how AI fits naturally into real testing workflows. The result is AI that testers can actually adopt and trust, delivering measurable gains in productivity, speed, and efficiency in day-to-day work — Alex Martins, VP of Strategy at Katalon.

AI native development requires AI native testing because testing teams now face code generated not just by developers, but by AI agents as well. To keep pace and maintain quality, testers need comparable AI-powered capabilities that can generate, assist, and scale testing alongside AI-driven development, helping level the playing field and support faster, more efficient delivery — Coty Rosenblath, Chief Technology Officer at Katalon.

Yes, the team expected the implementation to take longer. Given the client’s secure environment, multiple pre-production setups, and many agile teams, the plan allowed for nine weeks or more. In reality, the implementation was completed in about six weeks, even with an unplanned pause, which exceeded expectations and highlighted how smoothly the rollout went — Mush Honda, Chief Quality Architect at Katalon.

The first TrueTest implementation succeeded because the team aligned early on clear goals and maintained an open, realistic mindset about what AI could deliver. By being transparent, receptive to guidance, and working in a stable environment, they were able to move quickly and achieve measurable value much faster than expected, which was the biggest and most positive surprise from the implementation.

AI slows testers down when it’s added without a tester-first experience. Testers naturally question coverage and intent, so Katalon designs AI around real testing workflows to boost productivity instead of creating friction. — Alex Martins, VP of Strategy at Katalon Follow Katalon for more insights in our series!