Educational guide to AI hallucination risk in support — root causes, real-world consequences, and prevention strategies that work.
Data-driven analysis of AI escalation failures — what good handoffs look like and how to evaluate escalation quality across vendors.
Enterprise procurement checklist for AI support — SOC 2, data residency, PII handling, audit logs, and the signals that matter.
Why deflection rate alone is misleading — and the 6 metrics CX leaders should track instead for AI support performance.
Deep dive into AI quality assurance — self-evaluation, post-hoc QA, multi-model validation, and what 'good' looks like for accuracy.