Many large enterprises—especially in healthcare—still rely on static, brittle test automation frameworks that are unable to keep pace with evolving data structures, policy updates, X12 EDI changes, and shifting integration patterns. This session explores Adaptive Quality Engineering, a modern automation methodology that uses risk-based coverage, dynamic assertions, data-driven validation, pipeline intelligence, and event-based triggers to build resilient, scalable test ecosystems. Attendees will learn how to design automation frameworks that self-adjust to schema updates, transformation logic changes, and new regulatory requirements, reducing maintenance effort, defect leakage, and triage overhead. Concepts and examples are transferable across industries handling high-volume transactional data, APIs, ETL pipelines, and distributed microservices.