The basic chatbot framework consists of a messaging connector, natural language processing engine, and dialog manager that takes user intent and outputs a response.
As an enterprise-level total solution, Rulai architecture covers more advanced capabilities with the complexity and necessary sophistication for more advanced implementations required by enterprise customers who have high standards and strict requirements.
Domain experts can build and control AI chatbots without coding or AI expertise using Rulai’s patent-pending drag-and-drop AI chatbot design console.
Rulai’s AI virtual customer assistants (VCA) or chatbots support complex use cases (e.g., customer service, employee service, troubleshooting, sales and marketing tasks) that require flexible non-linear, multi-round conversation with MITIS™ (Mixed Initiatives and Tasks for Intelligent Services) technologies.
Enterprises can build AI chatbots without any data to cold start and let Rulai’s AI to help evolve, or with existing data using Rulai’s third-generation AI chatbot solution with unsupervised learning, transfer learning, active learning and deep learning technologies as well as proprietary data.
Understand millions of ways in which users express their intention, with misspellings, synonyms, named entities, etc.
Rulai creates natural interactions by conducting multi-task and multi-round conversations with MITIS™ technology
AI quickly launches the bot with historical data and automatically generates the bot model and structure for further tuning
Streamlined customer experience by consolidating the conversation and pinpoint routing to the right agent group
Rulai embraces and enforces strict security standards to ensure enterprise-class information security compliance, including:
Rulai’s native/HTML in-app chat interface is easy to embed into existing websites, using just a single line snippet. A robust Dialog Manager supports highly complex, conversational dialog.
