AI voice agents handle inbound and outbound calls by listening, understanding intent, retrieving the right information, and taking action in real time. They can resolve routine queries instantly or route complex issues to the right human agent with full context.

Yes. By deflecting high-volume, repetitive calls such as order tracking, billing, or password resets, AI agents can lower cost per resolution by over 60% while freeing staff for higher-value conversations.

Agents connect directly to telephony providers like Twilio or SIP systems and integrate with CRMs, support desks, and internal APIs. This ensures seamless workflows, from authenticating callers to updating records and logging outcomes.

No. They complement live teams by managing repetitive tasks and scaling instantly during peak hours. When an issue requires human judgment, AI agents transfer the call with full history so the customer never has to repeat themselves.

AI call center agents support 30+ languages with automatic detection and real-time switching. This allows enterprises to serve global audiences from a single system without maintaining separate language queues.

Enterprise deployments support SOC 2, GDPR, HIPAA, and EU data residency. Features like zero-retention mode, role-based access, and encrypted storage ensure customer data is protected while meeting strict regulatory requirements.

Yes. In addition to inbound support, AI agents can run outbound sales, lead qualification, or collections campaigns. They scale to thousands of calls in parallel with features like voicemail detection and compliant scripting.

Most organizations launch in days. With out-of-the-box integrations, prebuilt workflows, and low-code design tools, you can stand up a fully functional AI contact center without long IT projects.

Companies typically see faster resolution times, higher first-call resolution rates, improved CSAT, and major efficiency gains. Some report a 35% improvement in conversions and 25% higher customer satisfaction within weeks of deployment.