What should buyers ask about automated quality scoring in contact center AI software? 

Buyers should ask whether automated quality scoring evaluates 100% of interactions or only a sample, since coverage is one of the primary advantages AI offers over manual QA. Ask how the scoring model is trained and calibrated to your organization's specific quality rubric rather than a generic framework. Request transparency into how scores are calculated so supervisors and agents can understand and trust the results. Ask how the system handles multilingual interactions and whether scoring accuracy is consistent across languages. Evaluate whether the platform supports configurable scorecards that can evolve as quality priorities change. Finally, ask how scoring results integrate with coaching workflows, since scores alone do not improve performance without a clear path to action.