Empower your virtual assistants to have complex and meaningful conversations with users at scale – without lengthy development cycles. Kore.ai accelerates the virtual assistants building process by enabling you to perform intent discovery on transcripts to create dialogs that match the flow of natural, human conversations.
“Gartner predicts that 25% of customer service operations will use virtual customer assistants by 2020”
Virtual assistants are becoming critical in transforming customer service to meet new demands for speed, accuracy, and choice. While enterprises are beginning to realize the importance of VAs, they also understand that time is one of their most valuable assets. The complexities inherent in building human-like dialog flows and the need for development speed will only increase exponentially as the underlying technology becomes more sophisticated. Traditional methods and strategies for designing, training, and deploying virtual assistants will no longer be sufficient – precisely because they take too long.

Kore.ai can automatically identify intents and discourse patterns from chat transcripts to generate human-like dialogs for your virtual assistants - in a fraction of the time it used to take.
Traditional Bot Building Process vs. Kore.ai’s Auto Dialog Generation
Building a successful virtual assistant can be challenging, but it doesn’t have to be. Enterprises who use the traditional model must generally follow a long and complicated series of steps, including developing use case blueprints, designing conversational experiences, training NLP models, and deployment. This process can take months of hard work.
Kore.ai’s auto dialog generation system, which uses transcripts from past chat and voice conversations to uncover customer interaction patterns, can now be leveraged to model virtual assistants. This approach offers enterprises significant advantages compared to the traditional method.
Auto Dialog Generation in Action
The Kore.ai Bots Platform follows a step-by-step approach to accurately extract dialog and train your virtual agents from chat transcripts.
