Your go-to resource for AI & customer service fundamentals

AI models have traditionally depended on massive labeled datasets—a costly, time-consuming requirement that slows innovation. But approaches like zero-shot and few-shot prompting are changing the game.

Research shows that 33% of customers will switch to a competitor after just one experience with downtime. For smaller businesses, every minute offline can cost an average of $427. The longer it lasts, the more opportunities are lost not just in transactions but in customer engagement that could have built loyalty.

The pressures on CX leaders have only intensified. Customers expect service that is immediate, personalized, and in their own language. Enterprises are judged on response times, CSAT, and overall customer satisfaction even as budgets tighten and support volumes rise. 

Gartner predicts AI will autonomously solve 80% of common customer service issues without human intervention by 2029, leading to a 30% reduction in operational costs.

For contact center leaders, the lesson is clear: clinging to IVR isn’t just a technology choice. It’s a textbook case of innovator’s dilemma—mistaking a legacy solution for progress while competitors leap ahead.

Today’s top-performing voice AI agents can cut call handling costs significantly and deliver sub-2 second response times.

The most successful CX teams are making five very specific moves in 2025. Here’s what they are—and how to follow their lead.

Learn how to build secure, scalable contact center automation that delivers real business results. A roadmap for enterprise execution.

At its core, voice biometrics is the science of verifying identity based on vocal characteristics.