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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 …