Discover the Future of AI-Driven Solutions

Most enterprise voice AI evaluations focus on the AI model and overlook the telephony infrastructure underneath it. This post provides a 10-point checklist designed to surface the infrastructure limitations that determine whether a deployment succeeds or stalls.

Retention is shaped by the setup work that happens before a voice AI agent ever speaks to a customer: call routing, escalation paths, fallback design, and the metrics chosen for launch.

Automating appointment scheduling only works when the system understands urgency, patient context, provider availability, and the emotional texture of healthcare conversations.

Automotive service centers can automate high-volume phone workflows without losing the trust that customers expect when their vehicle is off the road.

Travel brands can use voice AI to manage disruption spikes, but only if the system is designed for urgency, changing inventory, and fast escalation.

The quality of an AI support experience depends as much on SIP, routing, media handling, and network placement as it does on the model generating the response.