AI in Software Testing and Quality Assurance
The use of artificial intelligence in software testing is now a key topic for most enterprise QA teams we work with. Over the past two years, the pace of software delivery has changed significantly: with AI agents, developers are now producing 2–3 times more pull requests and changes to existing code, creating new demands on testing. The business expects more frequent releases, a higher volume of changes, and faster feedback. QA teams therefore need to prioritize more effectively what to test manually, what to automate, and where to focus on the greatest risks. AI agent-powered test automation is becoming even more important in this environment, but it needs to be reliable, maintainable, and built on high-quality data. We can help you tackle this challenge: from risk prioritization and designing reliable test automation to integrating AI agents into everyday testing workflows.