WhatsApp has established itself as the most popular communication channel in Latin America, and voice notes occupy a central place in this preference. People choose to send audios for convenience, speed or simply because they prefer to talk rather than write. However, for companies, this form of contact represents a new challenge: how to automate an interaction that is not written?
With advances in conversational AI, it is now possible to answer this challenge. At wolkvox, we have developed specific capabilities that allow us to transform voice messages into automated service opportunities, without losing context or quality in the response.
Voice memos have a clear advantage for users: they allow them to express themselves naturally. But for automated systems, this naturalness translates into complexity.
Audios are not structured data. They can have long pauses, background noise, multiple accents, crutches, mistakes or unfinished sentences. In addition, the user can talk about more than one topic in the same message or mix emotions and intentions.
This makes it impossible to treat them as simple text entries. Automating responses to audios requires more than just recognizing words: contextual understanding and the ability to react immediately are needed.
At wolkvox, we meet this challenge with an integration of technologies that make it possible to make sense of voice memos accurately and quickly. Here’s how the process works:
1. Receiving the voice message via WhatsApp Business API or Cloud API.
2. Conversion of audio to text with Speech-to-Text technology
3. Content analysis with wvx Conversational AI to identify intent, emotion and need
4. Automatic generation of a response, either by text or synthesized speech, or referral to a human agent with context
WVX Conversational AI is designed to understand different accents, idioms and speech rhythms, even in multilingual environments. This makes automated voice attention not only possible, but functional, accurate and natural.
In industries such as telecommunications, insurance, retail and customer service, customers use voice notes for all kinds of requests: checking the status of an order, requesting technical support, updating information or even leaving a complaint.
With wolkvox, these messages can be handled by autonomous AI agents, who interpret the content, respond automatically or escalate it to the appropriate team. All in a matter of seconds.
This hybrid model – AI agents + human attention when required – allows the user’s preferred channel to be maintained without sacrificing efficiency or quality of service.
Voice message automation is no longer a promise: it’s a reality. And at wolkvox we make it possible by combining conversational technology, voice processing and omnichannel automation.
It’s not about replacing voice, it’s about giving it intelligence. If your company receives audios via WhatsApp, it’s time to turn them into controlled, efficient and results-oriented flows.
Request a personalized demo and discover how to automate voice notes in WhatsApp with wolkvox.
WhatsApp has established itself as the most popular communication channel in Latin America, and voice notes occupy a central place in this preference. People choose to send audios for convenience, speed or simply because they prefer to talk rather than write. However, for companies, this form of contact represents a new challenge: how to automate an interaction that is not written?
With advances in conversational AI, it is now possible to answer this challenge. At wolkvox, we have developed specific capabilities that allow us to transform voice messages into automated service opportunities, without losing context or quality in the response.
Voice memos have a clear advantage for users: they allow them to express themselves naturally. But for automated systems, this naturalness translates into complexity.
Audios are not structured data. They can have long pauses, background noise, multiple accents, crutches, mistakes or unfinished sentences. In addition, the user can talk about more than one topic in the same message or mix emotions and intentions.
This makes it impossible to treat them as simple text entries. Automating responses to audios requires more than just recognizing words: contextual understanding and the ability to react immediately are needed.
At wolkvox, we meet this challenge with an integration of technologies that make it possible to make sense of voice memos accurately and quickly. Here’s how the process works:
1. Receiving the voice message via WhatsApp Business API or Cloud API.
2. Conversion of audio to text with Speech-to-Text technology
3. Content analysis with wvx Conversational AI to identify intent, emotion and need
4. Automatic generation of a response, either by text or synthesized speech, or referral to a human agent with context
WVX Conversational AI is designed to understand different accents, idioms and speech rhythms, even in multilingual environments. This makes automated voice attention not only possible, but functional, accurate and natural.
In industries such as telecommunications, insurance, retail and customer service, customers use voice notes for all kinds of requests: checking the status of an order, requesting technical support, updating information or even leaving a complaint.
With wolkvox, these messages can be handled by autonomous AI agents, who interpret the content, respond automatically or escalate it to the appropriate team. All in a matter of seconds.
This hybrid model – AI agents + human attention when required – allows the user’s preferred channel to be maintained without sacrificing efficiency or quality of service.
Voice message automation is no longer a promise: it’s a reality. And at wolkvox we make it possible by combining conversational technology, voice processing and omnichannel automation.
It’s not about replacing voice, it’s about giving it intelligence. If your company receives audios via WhatsApp, it’s time to turn them into controlled, efficient and results-oriented flows.
Request a personalized demo and discover how to automate voice notes in WhatsApp with wolkvox.
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