The best, most memorable Virtual Assistants have conversation flows that feel natural and human-like. Natural conversations, however, often tend to go beyond the pre-defined and linear intent resolution paths that seem inherent in most VAs. To further complicate this, users often fail to follow a task to its logical conclusion before initiating another, which means that the VA must be able to guide the conversation in the new direction the user wants to go to achieve the desired result. i.e., without losing the original context of the conversation.
The Kore.ai XO Platform empowers your assistants to handle such nuances of human conversations, including interruptions, clarifications, and more.
Below is an overview of the intelligence management features available within the Kore.ai XO Platform.
Dialog Management
Dialog management features include the following:
- Handling of interruptions and context switching – The Platform provides you with granular control over hold and resumes functionality at the VA, task, and node levels. more…
- Allowing users to modify entity values – Very often users would want to amend the entity values, you can ensure that the VA responds to such situations and control the post-amendment dialog behavior. more…
- Enabling the detection of multiple intents – The ability of the NLP engine can be enhanced to detect and execute multiple intents identified in a single user utterance. more…
- Ignoring some words from user utterances – When words and phrases in user input that are not helpful in task interpretation are marked, then VAs can respond faster to user input and improve the probability of correct task recognition. more…
Context Management
Virtual Assistants are inherently stateless, but conversations between people can differ greatly based on their relationship and how much they know about each other. Because of this, as a developer, you struggle to keep track of different variables while maintaining the context and natural flow of a conversation.
Kore.ai allows you to capture and reuse contextual data for a large variety of scenarios, so you can create more complex use cases and redefine the enterprise customer experience.
- The Platform handles complex and diverse content switching scenarios in an effective and efficient manner. You can enable or disable context switches and add conditional exceptions between tasks with the ability to pass contextual data between them. More…
- When you create tasks, you can access session variables provided by the Platform, or custom variables that you define, as well as the context that defines the scope of the variable. More…
Sentiment Management
Trigger conditional flows and steer user-VA conversations with sentiment analysis and tone processing. Assistants built with Kore.ai analyze the emotional state of users and callers and model their response to provide excellent service.