VOICE AI / THE PRODUCT
A voice agent that listens, helps and knows when to hand over.
Let customers speak naturally over the phone or through a web voice experience. Voz360 Voice AI handles the requests you configure it to resolve, connects the conversation to customer context and brings in a human agent when the issue needs one or the customer asks.
CUSTOMERI need help raising a service request.
VOICE AITell me what happened so I can capture the issue and route it to the right team.
Capture the request and create the configured conversation.
THE COMPLETE SERVICE LOOP
Voice intelligence connected to real service work.
A spoken entry point
Phone and web voice connect the customer to the configured service journey.
An intelligent next step
Speech, context and approved instructions support a bounded service task.
A connected record
Conversation history, human continuation and quality review preserve the work.
Meet the customer in a spoken conversation.
Use a voice agent at the front of your phone service or in a voice-enabled web journey. The customer describes the request in their own words; the configured agent works out the next step. Bring both entry points into the service operation rather than treating the voice experience as a disconnected bot.
- Answer incoming phone enquiries through the configured telephony flow.
- Offer a web voice entry point with the appropriate microphone and session setup.
- Define the permitted requests, escalation destinations and operating coverage.
- Confirm numbers, browser support, providers and access requirements during implementation.
Turn speech into a useful service response.
Speech-to-text converts the spoken request into text. The language-model stage interprets it against the configured instructions, available context and allowed actions. Text-to-speech returns a spoken answer. Each stage supports the service task and needs to be evaluated with the language, audio conditions and request types your customers use.
- STT: understand the spoken request through transcription.
- LLM: reason over the service context and approved handling instructions.
- TTS: deliver the response as speech.
- Scope any CRM lookup or external-system action to the agreed integration and permissions.
Complete the routine work inside a defined scope.
Start with repeatable requests that have a clear answer or a bounded next action. A configured voice journey can explain approved service information, capture the issue, raise a conversation or arrange the next handling step. External actions such as order lookups or appointment changes require the relevant data connection and authorization.
- Capture customer intent and the information needed for the request.
- Create or continue a conversation so the interaction has a service record.
- Use approved information and scoped integrations for the configured task.
- Keep a clear outcome: handled, follow-up required or transferred to a person.
Make a human handoff part of the product.
The agent should bring in a person when the request needs specialist judgment, falls outside its authority, cannot be completed reliably or the customer asks for human support. Configure the destination and what context reaches the receiving team. A handoff should continue the request with the information already collected.
- Treat an explicit request for a human as an escalation condition.
- Define specialist and exception paths with the service team.
- Carry the captured issue, available history and next action into the handoff workflow.
- Agree queue, out-of-hours and unavailable-agent handling before launch.
Review the conversation and improve the service.
Voice AI belongs in the same quality and operating review as the rest of the contact center. Use the service history and the call-to-transcription-to-QA workflow to inspect answers, task completion and handoffs. Review repeat contacts and unresolved requests alongside automation outcomes so a completed AI session is not mistaken for a resolved issue.
- Connect voice interactions to Customer360 and the conversation history.
- Use voice QA and scoring to review the actual interaction.
- Inspect incorrect answers, failed actions and unnecessary transfers.
- Agree recording, transcript access, retention and provider responsibilities.
FROM FIRST JOURNEY TO A REVIEWED PILOT
Bring a real request. Test every next step.
- 01
Define
Choose a routine request, approved information and permitted actions.
- 02
Configure
Connect the entry point, customer context and escalation destination.
- 03
Test
Inspect completion, a failed action and a request for a human.
- 04
Review
Use records and quality findings before expanding the journey.
QUESTIONS & ANSWERS
Make the service design clear.
What is Voz360 Voice AI?
Voz360 Voice AI is an agentic voice capability that combines speech-to-text, a language model and text-to-speech to handle configured customer service requests over phone and web voice journeys. It connects those interactions to the wider service operation and human support.
Can a customer ask for a human agent?
Yes. A request for a human is an escalation condition. Configure the receiving queue, handoff context and unavailable-agent or out-of-hours behavior for the intended service operation.
Can Voice AI complete actions in our CRM or business systems?
Actions and lookups depend on the agreed integration, available data and permissions. Define each permitted action, failure path and approval requirement during implementation; general voice capability does not imply every external system is connected.
How is it different from live agent assistance?
Voice AI conducts the configured spoken interaction with the customer. Agent assistance supports a human handling the call with real-time transcription and recommendations. Voz360 supports both capability areas, which can be scoped separately.