DIGI COMES BUILT IN WITH

Small Talk Support

Digi comes built in with small talk support. With over 100 built in intents just to handle a basic conversation, Digi can handle anything from questions about her, to mood questions, to the weather. The responses can be customized if you wish to give Digi a different character. Using our Q&A and Data BI as well as custom NLP intents the conversational capabilities of Digi can be enhanced to respond to “real” questions and requests while retaining the underlying small talk capabilities.

DIGI ALSO HAS

Questions & Answers

The Q&A tab provides an easy and simple way to add a FAQ style capability to your chat bot. Using out dedicated editor, you can add questions and answers as well alternate ways of asking the same questions that are not obvious from the “standard” way of asking.

Detailing your questions & answers

Using Q & A, your answers do not have to be text only. You can connect specific answers to specific blocks created for a specific answer. This allows you endless customization of the response to add pictures, videos or even kick off any process directly from the bot. For example, asking “How do I take a vacation” can provide the HR response including help video and then ask the user if he wishes to start the vacation process in your HR tool. By answering yes, the user can start the entire vacation process directly inside the bot.

Importing & Exporting

The Q & A data can be exported and imported from Excel for quick inclusion of existing questions you may have. The export option is an easy way to backup your questions and store versions of them.

DIGI comes built with

Custom Intents

The Q&A tab provides an easy and simple way to add a FAQ style capability to your chat bot. Using out dedicated editor, you can add questions and answers as well alternate ways of asking the same questions that are not obvious from the “standard” way of asking.

Extracting specific information

NLP Intents are a simple way of describing what the user is actually requesting or asking. Sometimes, the intent is not enough to execute the request. We may need to also extract information from the user sentence, such as a bank account number or branch name. These are called Entities and can also be marked up using the same intent editor as shown below.