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Open enrollment has a way of turning routine questions into high-stakes moments. Benefits, premiums, provider networks, formularies, prior authorizations, ID cards, and plan changes all land at once. For healthcare customer support teams responsible...

Roadside assistance outsourcing is not just a cost conversation. It is a reliability conversation. When a winter front drops temperatures overnight or a holiday weekend pushes more vehicles onto the road, demand doesn’t rise politely. It jumps.  And...

If you’ve ever called for help on the side of the road, you already know the first few seconds matter. Confusion, safety concerns, weather, traffic, and a blinking hazard...

When a driver is stranded, roadside assistance customer service is not a nice-to-have. It’s the difference between a contained inconvenience and a situation that feels unsafe, confusing, and endless.   The strongest programs treat every interaction as a dispatch-to-resolution...

Telehealth expanded access fast, but it also exposed a quieter truth: the quality of the scheduling experience, and how well your telehealth software supports it, often determines whether the visit actually happens.  When scheduling is clunky,...

Virtual visits have matured from a convenience feature into an operational expectation.   Patients want care that fits into real life, care teams need fewer workflow disruptions, and healthcare leaders are under pressure to improve access without inflating...

AI has officially moved from the background to the front lines of customer service. In the 2025 holiday season, nearly 8 in 10 shoppers (78%) interacted with AI or automation at some point in...

For the past year, one theme has been impossible to ignore: investment in AI for customer experience has surged, and expectations have surged right alongside it.  At Liveops, we spent time with enterprise leaders across retail, financial...

Authored by Liliana Lopez-Sandoval Customer experience leaders came to Customer Contact Week (CCW) Orlando with one big question on their minds: how do we move AI from “promising” to “proven” without sacrificing quality, compliance, or customer trust?  That question...