
The integration of Artificial Intelligence (AI) in quality assurance (QA) processes is reshaping how companies ensure software quality. This strategy reduces the time spent on testing, which can account for up to 50% of the development cycle, according to the System Sciences Institute at IBM. With this in mind, NextAge launched TestBooster.ai, a startup that leverages AI to automate testing, delivering up to 10 times more coverage and executing tests four times faster than traditional methods. According to Juliano Haus, co-founder of TestBooster.ai, the solution eliminates the reliance on static scripts typically found in tools like Selenium and Cypress, allowing for more adaptive testing throughout the project lifecycle.
“Data shows that approximately 40% of tests developed on these platforms experience failures as projects evolve — an issue that doesn’t occur with TestBooster.ai’s automated testing architecture,” Juliano explains.
According to the 2023 World Quality Report, 74% of QA teams still lack a structured approach to testing, undermining overall efficiency. Companies investing in AI can reverse this scenario, improving bug detection and reducing rework by up to 73%, as reported in the 2022 study The AI-powered Enterprise. Additionally, McKinsey (2024) emphasizes that the shift-left testing strategy — integrating QA from the very beginning of the project — is crucial to maximizing AI benefits. Finally, the use of autonomous agents, such as those applied by TestBooster.ai, simplifies testing in natural language, creating a more accessible and less error-prone environment.
“By incorporating AI into our ecosystem, we’ve been able to review and automate processes that previously depended on manual steps. This approach is also replicable in client environments, and TestBooster.ai is one of these tools,” explains Marcelo Ferri, director and co-founder of NextAge.
Read the full article here: https://valor.globo.com/patrocinado/dino/noticia/2025/05/05/uso-de-ia-transforma-processos-de-quality-assurance.ghtml