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Scaling AI in quality engineering means moving generative AI from isolated team pilots to governed, measured, enterprise-wide use in testing. It matters because adoption is broad but shallow: nearly 90% of organisations are pursuing it, yet only 15% have reached enterprise-scale deployment.