An Enterprise Level Total Solution
A basic chatbot framework simply consists of a messaging connector, a natural language processing engine, a dialog manager that takes user intent and outputs chatbot responses.
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.
Context Awareness
- Conversational history
- Behavior prediction
- User preferences
- User context
- Second/third party data
- Proactive conversations
Handling
- Brokering
- Exceptions
- Decision tree
- Knowledge
- Script generation
- Business process
Rich Analytics
- Macro & Micro level analytics
- Pinpoint problems
- Propose improvements
Exception Handling
- Clarifying
- Modality switching
- Fall back to search
- Escalate to human
Integration
- Deferred intent
- Custom integration
- Decision tree node
- Script execution
- Bot to bot integration
PaaS/SaaS/on premise
- Support
- Service
- Security
- Scalability
- Data integrity
- Launch bot
The Rulai Platform
Benefits of Rulai VCAs or Chatbots
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.
Rulai's Patent-Pending AI Techniques
Deep Learning-Based NLU
Understand millions of ways user expresses their intention, with misspellings, synonyms, named entities, etc.
Adaptive Multi-Tasking
More natural interactions by conducting multi-tasks and multi-round conversations with MITIS™ technology
Semi-Supervised Learning for Generating Knowledge
AI-assisted faster bot launch by loading historical data and automatically generate bot model and structure for further tuning
Contextualized Escalation to Agents
Streamlined customer experience by consolidating the conversation and pinpoint routing to the right agent group
Getting Started With Rulai
- Pick one use case for initial deployment
- Assign a team member (a domain expert/designer) to work with Rulai
- Allocate an engineering resource for API integration, if needs to integrate with your existing CRM or system
- Identify key success metrics – e.g., resolution rate, response time
- Target initial deployment (3-6 weeks)
- Perform multiple rounds of A/B testing for incremental improvements
- Expand use cases and add functionality over time
Security
Rulai embraces and enforces very strict security standards to ensure enterprise-class information security compliance, including:
- Encrypt data at rest and conduct regular recover from back-up test
- Certified with authoritative third-party (ISO 27001 agency) for penetration test and required remediation
- Comprehensive security training required as part of the new employee onboarding process
- Strict password and remote access enforcement to prevent malicious cyber attack
- Comprehensive information security classification to apply maximum control and protection of classified information
- Full-system redundancy to minimize downtime and ensure quick recovery from major outage
- Dedicated Information Security Officer to oversee and coordinate all information/data security related matters
Conversational UI
Rulai’s native/HTML in-app chat interface is easy to embed into existing websites, using just a single line snippet. A robust Dailog Manager supports highly complex, conversational dialog.