A well-designed quality assurance (QA) scorecard remains one of the most powerful tools in a contact center—but only if it reflects the realities of today’s customer experience. In many organizations, scorecards have not kept pace with how customer expectations, channels, and technologies have evolved. As a result, they often reinforce outdated behaviors, such as prioritizing speed over resolution or rigid adherence to scripts over authentic, human interactions. Customers exp

AI-supported roleplaying is transforming contact center training by making realistic, on-demand practice possible at scale. By allowing agents to build confidence and refine skills before interacting with customers, organizations can accelerate onboarding, improve consistency, and deliver better customer experiences.

[UPDATED FOR 2025] Customer expectations continued to rise in 2025, and the gap between great and poor customer service is widening. This article examines best- and worst-performing companies across industries—and the CX lessons leaders must apply as AI and human-in-the-loop service models shape the future.

As AI implementation in customer service contact centers accelerates, a critical question remains: How do we preserve empathy, judgment, and human connection in an increasingly digital world? The answer lies in human-in-the-loop design, a model where AI manages the predictable and people manage the personal. It’s the sweet spot between efficiency and humanity, allowing organizations to deliver services that are faster, smarter, and still unmistakably human.