“The ambition of Quality Engineering strategies is shifting from automation to intelligence – but AI adoption is not yet aligned with this shift. Organizations seeking to embrace AI are realizing that context engineering is quickly becoming the bottleneck. Among the provider community, the wheat is separated from the chaff, with providers who can industrialize context: requirements, test assets, defect history, business processes, domain rules, production telemetry, and governance.”