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Support for Highly Complex Conversational Dialog

Key features of Rulai’s Dialog Manager include:

    • Natural language understanding with context
    • Capability to understand common conversational intents
    • Multi-task/context switch handling by dialog manager (MITIS)
    • Capability to detect and handle multi-intent
    • Ability of understanding thousand types of common NLU entities and easily defining and ingesting new custom entities for conversation
    • Ability of using entities to specify information to be collected from customers during the conversation for tasks and executions
    • Chatbots can ask clarifying questions
    • Capability to understand when someone changes their mind
    • Ability to present knowledge base or chatbot suggested responses to live agents (Agent Assist)
    • Ability to surface knowledge base or articles to respond to common customer queries
    • Multi-language support with design workflows in any of 170+ languages
    • Proactive and seamless escalation from chatbot to a live agent due to chatbot confusion or end user escalations
    • AI model that incorporates synonyms and misspellings

 

Advanced NLP Features

  • Recommendation – AI assisted design
  • Support complex multi-round queries for knowledge base or data sources in natural language
  • Configurable Suggestion modes
  • Co-reference resolution
  • Sentiment detection and analysis
  • Multi-language understanding for conversations in different languages

Drag & Drop Chatbot Design Console

  • Business users can design customer chatbots in drag-and-drop UI without coding
  • Response to customer inquiries can be automated with natural and flexible conversations
  • Interactions can be seamless escalation to human reps with pinpoint, contextual routing
  • Updates are easy and can be deployed with one click
  • Deep learning based NLP and dialog manager

USE CASES SUPPORTED WITH RULAI DIALOG MANAGER

LevelCharacteristicsExamplesRequired Technologies
1stSingle
round
Q&A		FAQ,
question/answer
chatbots		Question
answering engine
or search engine
2ndSimple linear/tree
multi-round
conversations		Change address, menu-driven
chatbots		+ Multi-round
dialog
manager
3rdFlexible
non-linear
conversation		Sales and
marketing
chatbots		+ Advanced NLU
+ Advanced Dialog manager

Rulai’s third-level chatbots can track conversations, keep context to support intelligent, conversational chatbots that decide what the next action should be, including asking user for more input or clarification, switching to a different task, taking an action etc. With NLU and the advanced dialog manager, Rulai chatbots have the ability to handle mixed initiative and tasks and take actions based on inference.

NON-LINEAR CONVERSATION

Non-linear conversation is crucial to making bots more human friendly.  Rulai supports this by enabling chatbots to do more than follow a single thread.  With Rulai, if a customer asks an unrelated question, the chatbot can respond then get back to the original conversation.

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