AWS AI-DLC Implementation and Questions

My company plans to implement AWS AI-Driven Development Life Cycle company-wide, but has not given much guidance so far on how it will actually look for QA. For those who’ve implemented AWS AI-DLC, what changed most about your QA practice — particularly manual QA — in terms of test design, validation criteria, risk management, and regression strategy? Do you have any tips or tricks during the implementation/learning process?