How do firms navigate the governance risks associated with the increased use of AI for evaluation and decision-making in contact centers?
As AI adoption accelerates across contact centers, organizations are entering a new phase – one where AI no longer simply supports agents, but actively evaluates performance, shapes behavior, and informs operational decisions.
Unfortunately, this shift is happening faster than many traditional governance models can keep up with. AI initiatives often inherit flawed performance definitions, legacy metrics, and biased data, which can lead to confident but incorrect conclusions that undermine quality, trust, and customer experience.
So as AI systems increasingly evaluate agent performance, drive coaching decisions, and influence customer outcomes, how do organizations ensure the right governance, accountability, and validation of what is being measured?
Join this Meet the Boss roundtable, in partnership with BPA, to explore why measurement validity matters, how psychometrics and human expertise safeguard decision-making, and what it means to move from AI-enabled operations to AI-governed enterprises.
Speakers
David Blackwell
About BPA Quality
BPA Quality has over 30 years of experience transforming contact center interactions into meaningful connections. By integrating behavioral psychology and psychometric science, we provide actionable insights that enhance agent performance and strengthen customer relationships. Our evidence-based approach informs every step of the customer experience (CX) development journey, from agent recruitment to training and process improvements, ensuring organizations develop the perfect interaction with their customers.
Discussion Topics
To what extent does AI amplify existing quality definitions, assumptions, and bias rather than correcting them?
What are the risks of relying on AI insights without validating what is being measured and why?
What is the role of psychometrics in ensuring performance evaluations are meaningful, fair, and outcome-linked?
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