When talking about intelligent assistants, the real differential is not only in the technology, but in the knowledge that supports them. At wolkvox, training with your own data and customizing a wvx Copilot according to the specific domains of your operation allows each response to be aligned with the business reality. Beyond automating, it’s about assisting with accuracy, context and control.
In this article we explain how to do it step by step, leveraging the capabilities of our interactions platform and its domain approach.
Training and customizing a wvx Copilot with your own data ensures operational consistency, adaptability to the language of the business and greater confidence in each interaction. Unlike generic models, a wvx Copilot fed with internal documentation – such as manuals, policies, flows and real use cases – is able to deliver answers aligned with your processes.
This approach is enhanced by technologies such as Knowledge Retrieval, which allows you to retrieve specific information in real time, avoiding common errors of closed or outdated models. In addition, training with proprietary data facilitates regulatory compliance and customization of each knowledge domain.
The first step is to gather and organize the documentation that will be the basis of the training: operational manuals, internal guides, FAQs, scripts and other key documents. These must be up to date, clear and in compatible formats (PDF, DOCX, HTML, among others). It is important to avoid redundancies or cluttered content, as this may affect the quality of responses.
In the wolkvox platform, a domain is a structured set of documents associated with a specific topic or area (such as support, collections, sales, etc.). Training by domains allows knowledge segmentation, avoiding confusion between topics and increasing contextual accuracy. You can have multiple domains operating in parallel, which allows a wvx Copilot to respond according to the channel or type of user it interacts with.
From the configuration environment, you access the source upload module. There you upload the documents, associate them with their corresponding domain and start the indexing and validation processes. The platform allows you to verify which parts of the content will be used and make adjustments if necessary. This step is essential to ensure that wvx Copilot accesses reliable and well-structured content.
Before enabling wvx Copilot in a live operation, it is possible to test its behavior in a validation environment. You can enter real questions, review suggested answers, adjust the level of accuracy, filter specific fragments and define style rules or thematic boundaries. This stage ensures that the wvx Copilot is aligned with the intent of the operation and meets the defined quality standards.
Once trained, wvx Copilot can be customized through configuration variables such as tone, formality, response style or detail level. It is also possible to set rules to prioritize certain sources, avoid sensitive responses or adapt the content according to the channel (human agent, conversational AI or website).
In addition, you can set preferred responses, define behaviors for out-of-context questions and adapt the wording to maintain consistency with the brand style.
Training and customizing a wvx Copilot does not require complex processes or large volumes of data. It requires data that is correct, structured and aligned with your business. Thanks to the domain approach and the tools available in wolkvox, you can build an assistant that not only automates, but truly assists.
Ready to see how it works in your own context? Request a customized demo and put wvx Copilot to the test with your operation’s data.
When talking about intelligent assistants, the real differential is not only in the technology, but in the knowledge that supports them. At wolkvox, training with your own data and customizing a wvx Copilot according to the specific domains of your operation allows each response to be aligned with the business reality. Beyond automating, it’s about assisting with accuracy, context and control.
In this article we explain how to do it step by step, leveraging the capabilities of our interactions platform and its domain approach.
Training and customizing a wvx Copilot with your own data ensures operational consistency, adaptability to the language of the business and greater confidence in each interaction. Unlike generic models, a wvx Copilot fed with internal documentation – such as manuals, policies, flows and real use cases – is able to deliver answers aligned with your processes.
This approach is enhanced by technologies such as Knowledge Retrieval, which allows you to retrieve specific information in real time, avoiding common errors of closed or outdated models. In addition, training with proprietary data facilitates regulatory compliance and customization of each knowledge domain.
The first step is to gather and organize the documentation that will be the basis of the training: operational manuals, internal guides, FAQs, scripts and other key documents. These must be up to date, clear and in compatible formats (PDF, DOCX, HTML, among others). It is important to avoid redundancies or cluttered content, as this may affect the quality of responses.
In the wolkvox platform, a domain is a structured set of documents associated with a specific topic or area (such as support, collections, sales, etc.). Training by domains allows knowledge segmentation, avoiding confusion between topics and increasing contextual accuracy. You can have multiple domains operating in parallel, which allows a wvx Copilot to respond according to the channel or type of user it interacts with.
From the configuration environment, you access the source upload module. There you upload the documents, associate them with their corresponding domain and start the indexing and validation processes. The platform allows you to verify which parts of the content will be used and make adjustments if necessary. This step is essential to ensure that wvx Copilot accesses reliable and well-structured content.
Before enabling wvx Copilot in a live operation, it is possible to test its behavior in a validation environment. You can enter real questions, review suggested answers, adjust the level of accuracy, filter specific fragments and define style rules or thematic boundaries. This stage ensures that the wvx Copilot is aligned with the intent of the operation and meets the defined quality standards.
Once trained, wvx Copilot can be customized through configuration variables such as tone, formality, response style or detail level. It is also possible to set rules to prioritize certain sources, avoid sensitive responses or adapt the content according to the channel (human agent, conversational AI or website).
In addition, you can set preferred responses, define behaviors for out-of-context questions and adapt the wording to maintain consistency with the brand style.
Training and customizing a wvx Copilot does not require complex processes or large volumes of data. It requires data that is correct, structured and aligned with your business. Thanks to the domain approach and the tools available in wolkvox, you can build an assistant that not only automates, but truly assists.
Ready to see how it works in your own context? Request a customized demo and put wvx Copilot to the test with your operation’s data.
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