The AI receptionist that can actually hold the conversation.
ARIA Voice handles website and telephone conversations with fast turn-taking, business-aware answers, lead capture, bookings and escalation — so a customer can get help without waiting for someone to become available.
Visitors can speak or type. ARIA answers from the business knowledge available to it, captures contact details and interest, and can trigger supported actions instead of ending at a generic chatbot response.
Inbound telephone conversations use the same ARIA Voice product direction: understand the caller, maintain conversational context, capture the outcome and route or escalate when human involvement is required.
Built around the jobs that cost businesses leads and staff time.
Answer questions
Hours, location, services, pricing guidance, policies and other repeat questions grounded in business knowledge.
Capture leads
Collect names, contact information, intent and relevant conversation context while the customer is already engaged.
Book appointments
Use connected booking actions where configured so a conversation can turn into an actual scheduled next step.
Remember context
Keep conversation records and customer context inside the organization's ARIA environment instead of scattering them across disconnected tools.
Escalate cleanly
Bring in staff when judgment, approval or a human relationship is needed, with the relevant conversation context attached.
Review outcomes
Use the customer console for conversations, leads, call records and other operational history supported by the deployment.
The product is designed around natural turn-taking, not a push-to-talk script.
The ARIA Voice realtime architecture is built toward fast speech detection, interim transcripts, streaming responses, cancellable speech generation, immediate barge-in and a clear listening/thinking/speaking state model.
The user should be able to interrupt ARIA naturally. Speaking again should cancel the current response and return control to listening without forcing the caller to wait for audio to finish.
Realtime deployments are designed to measure the delay between the user finishing, transcript arrival, model response start and audio playback so latency problems can be found instead of guessed at.
Website and telephone channels belong to the same customer experience.
ARIA Voice is not meant to be two unrelated assistants. The goal is one business-aware voice product operating across the channels the customer uses, with organization-scoped records and the same operational dashboard.
Read the ARIA Voice documentation →