Rulai’s MITIS™ Technology for Complex Conversations
Rulai's Mixed Initiatives and Tasks for Intelligent Services (MITIS™) technology enables the creation of virtual assistants that can handle non-linear, multi-round conversations effortlessly. This capability is crucial for industries like Service Management, where interactions across sales, customer service, HR, and IT require flexible conversational solutions.
Utilizing Existing Knowledge with Rulai’s AI Knowledge Module
Enterprises can leverage their existing knowledge resources such as manuals, databases, and business processes to quickly deploy tailored virtual assistants using Rulai's AI Knowledge Module. This module enables rapid and accurate deployment by tapping into the organization's internal knowledge base.
Streamlining Cold-Starts and Improvements with Ensemble Approach
Rulai's AI platform addresses the challenge of fragmented company knowledge by facilitating cold-starts and continuous improvements. Through an Ensemble Approach that combines unsupervised learning, transfer learning, active learning, and deep learning technologies, Rulai enables organizations to enhance their virtual assistants iteratively.
Omni-channel Engagement for Personalized Customer Journeys
Rulai's omni-channel engagement center, coupled with specialized toolkits for voice recognition and understanding, empowers personalized customer journeys across various communication channels. This ensures a seamless and consistent experience for customers interacting with virtual assistants.
Robust Dialog Management for Complex Conversations
Unlike traditional chatbots, Rulai's virtual assistant framework incorporates a sophisticated dialog manager capable of handling complex and cumbersome conversations effectively. This dialog manager, comprising a messaging connector, natural language processing engine, and powerful backend, ensures a seamless customer journey experience.
Seamless Integration and Scalability
Rulai's architecture offers an omni-channel Engagement Center, AI Knowledge System, and a range of adapters for rapid system integration and scalability. Enterprises can seamlessly embed Rulai's virtual assistant framework into their websites using a single-line snippet or integrate it into various applications through APIs, ensuring flexibility and ease of deployment.
Sophisticated Context Awareness and Behavioral Prediction
Rulai's virtual assistant solution excels in context awareness, seamlessly maintaining user preferences, behavioral history, and even incorporating second/third party data for proactive conversations. The platform's advanced capabilities include handling orchestration, exceptions, decision trees, and rich analytics at both macro and micro levels.
Empowering Domain Experts with Conversation Design Console
Rulai's conversation design console allows domain experts to quickly generate and customize virtual assistant workflows. The tool offers drag-and-drop functionality, in-console JavaScript engine for flexible logic implementation, and the option to integrate deep learning models effortlessly. This allows for rapid prototyping and iteration of conversational workflows.
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