AI-Augmented Test Automation: Turning QA Data into Intelligent Test Decisions
Software teams are facing rapid release cycles, complex architectures, microservices expansion, and constant delivery demands. Traditional automation still catches bugs, but it lacks intelligence; it executes what it’s told, without understanding risks, patterns, or user behavior. AI-Augmented Test Automation changes the game by turning test data into a decision-making engine. Instead of running thousands of scripts blindly, teams can ...






