Deliver better experiences with Intelligent Call Routing

A standard IVR routes by menu selection. Callers press a number and get sent somewhere that may or may not match their actual need. Intelligent routing listens to what callers say, understands the intent behind it, and routes based on that. The practical difference is fewer wrong-team pickups, fewer transfers, and lower repeat-contact rates because the right person handled it the first time.

No. The routing layer sits on top of what you already have. Your current phone numbers, IVR, CCaaS, and BPO contracts stay in place. Intent detection and routing decisions happen before calls reach your existing systems, so your agents and workflows do not change on day one.

Deployments reach up to 98% intent accuracy. That figure comes from models trained on your actual call recordings and vocabulary, not a generic language dataset. Accuracy holds across 46+ languages and improves over time as the model learns from your call volume. The gap versus off-the-shelf NLU toolsets is most visible in regulated industries where product terminology and customer language don't match general training data.

Most deployments go live in under six months. Because there is no infrastructure replacement, the primary source of delay in most contact center projects doesn't apply here. Intent models are trained during implementation using your existing call recordings. Agents don't need retraining and customers do not get a new phone number.

Yes. The reporting layer shows which intent classes are routing correctly and which are generating repeat contacts or transfers. You can identify the specific call types causing the most friction, adjust the routing logic, and track whether it improves, without raising a development ticket each time.