Our AI Phone Bot Handles 60× Normal Call Volume—Automatically
On our busiest day recently, our AI phone bot handled over 60 times the usual inbound calls—imagine trying to manage that manually! Even in industries where demand is unpredictable, automation ensu...
The Accountability Gap: Why AI Phone Projects Fail Without a Single Owner
Many automation projects stall because nobody “owns” the problem end-to-end. This article explains how assigning a high-responsibility leader (not just an IT resource) can determine project success...
Tsunami Warnings and Customer Care: How Proactive AI Messaging Eases California Residents' Concerns
As an 8.8-magnitude earthquake off Russia’s Kamchatka triggered tsunami warnings across the Pacific—including California—coastal call centers were quickly inundated with anxious customers seeking g...
Phone Support Elimination at Theme Parks: Efficiency Boost or Customer Experience Disaster?
Introduction Many global theme parks are considering removing public phone numbers and relying solely on AI-powered chatbot support—especially for reservations, FAQs, and visitor concerns. But is t...
One Strike and You're Deleted? Rethinking AI Mistakes in Customer Support
Introduction In customer support, AI phone bots are praised for speed and scalability. But what happens when they fail—providing misinformation, misunderstanding context, or generating a user suppo...
Election Day Silence: Why Call Volumes Drop During Major Voting Events
On national voting days, U.S. call centers often experience an unexpected phenomenon: a drop in inbound call volumes. Customers are so focused on civic duty that engagement with routine support cha...