Topic
Field notes on running a contact center: staffing, queues, workflow design, and the operational detail behind agentic customer experience.
Articles
Cancellation calls carry the highest compliance exposure in a residential subscription operation because they sit at the exact intersection of a retention incentive, a consumer-protection obligation, and a recorded line that regulators and plaintiffs can subpoena.
The real HIPAA compliance risk on patient access calls is not a breach in the system of record. It is a live verbal disclosure made before identity verification is complete.
Nesting is cost the contract does not pay for. Live assist moves approved knowledge into the conversation, so a new agent performs closer to a tenured one sooner.
A thin QA sample tells a dealer group how a handful of drawn calls sounded. It cannot tell the group how its stores describe price across thousands of conversations a month.
A thin QA sample cannot tell a retailer whether its return and refund policy is being followed. It reports on the handful of conversations somebody happened to pick.
The first ten days of a term concentrate every access fault across every learner into a window too short to staff and too repetitive to ignore. This post explains how AI voice agents resolve the learner login, MFA and course access crunch.
New patient calls get lost because the access team cannot answer every call the moment it arrives, and a caller who waits too long hangs up and calls somewhere else. This post explains how AI voice agents turn those calls into booked appointments.
A new reservations agent takes their first call long before they can work an exchange or reissue unaided, because the applicable fare rule is hard to see. This post explains why manual reissue handling slows exchange calls and how agent assist helps.
Storm-day call volume exceeds what any utility can staff for because the arrival curve compresses many times normal volume into a window shorter than any shift change. This post explains why surge capacity fails and what holds the safety boundary.
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See how enterprise teams turn these AI strategies into resolved conversations, on the stack they already run.
