Using AI Features
Users can leverage comprehensive AI-powered tools to enhance their portal experience through intelligent search capabilities, automated support assistance, and interactive chat functionality. The AI features provide contextual help, improved information discovery, and self-service solutions that reduce the time needed to find answers and complete tasks within the portal.
AI features integrate seamlessly with existing portal workflows and content, providing users with enhanced access to organizational knowledge while maintaining security boundaries and user permissions.
AI Feature Access and Availability
Understanding AI Feature Access
Security Role-Based Access: AI features are available to users based on their assigned Security Roles and administrator configuration. Users only see AI functionality that has been enabled for their specific role and permission level.
Feature Integration: AI capabilities integrate with existing portal content and respect user access permissions, ensuring that AI-generated responses and search results align with individual user access rights and organizational security policies.
Semantic Search Functionality
Enhanced Search Capabilities
1. Utilizing AI-Powered Search
Accessing Semantic Search:
- Semantic search functionality integrates automatically with existing search interfaces throughout the portal
- Enhanced Results: Instead of simple keyword matching, AI interprets the meaning and context behind search queries
- Natural Language Processing: Users can search using natural language questions rather than specific keywords
Search Experience Improvements:
- Contextual Understanding: AI analyzes full query context to deliver more relevant and precise results
- Content Relationship Mapping: Search results include related content that may not contain exact keywords but addresses the underlying information need
- Intelligent Ranking: Results are prioritized based on relevance to user intent rather than simple keyword frequency
Optimizing Search Queries
2. Effective Search Strategies with AI
Natural Language Queries:
- Conversational Search: Users can phrase searches as questions or natural language statements
- Example Approaches: Instead of "password reset," users can search "How do I reset my password?" or "I forgot my login information"
- Context Awareness: AI understands implied context and provides comprehensive results for complex queries
Search Result Interaction:
- Relevant Content Discovery: AI-enhanced search reveals content that addresses user needs even when exact terms don't match
- Cross-Content Integration: Search results may include information from Articles, Wikis, and other configured content sources
- Permission-Based Results: All search results respect user access permissions and security boundaries
Ticket Deflection and Case Resolution
Automated Support Solutions
3. Leveraging AI for Self-Service Support
Case Deflection Experience:
- Automatic Solution Generation: When users begin creating support tickets, AI analyzes the request and suggests relevant solutions
- Knowledge Base Integration: Suggested solutions draw from configured Articles, Wikis, and knowledge base content
- Proactive Problem Solving: Users receive immediate assistance before submitting formal support requests
Solution Interaction Process:
- Issue Description: Users describe their problem or question in the support interface
- AI Analysis: System analyzes the description and matches it with relevant knowledge base content
- Solution Presentation: AI presents relevant solutions and resources that may resolve the issue
- Resolution Options: Users can either implement suggested solutions or proceed with ticket submission if additional help is needed
Maximizing Case Deflection Effectiveness
4. Optimizing Self-Service Success
Effective Problem Description:
- Detailed Context: Provide specific information about the issue, including symptoms, error messages, and relevant circumstances
- Clear Objectives: Clearly state what you're trying to accomplish or what problem needs resolution
- Environmental Details: Include relevant information about browser, device, or system configuration when applicable
Solution Evaluation:
- Comprehensive Review: Carefully review all suggested solutions before determining next steps
- Step-by-Step Following: Implement suggested solutions systematically to ensure accurate troubleshooting
- Documentation: Keep notes of attempted solutions for future reference or escalation if needed
Wizard Assistant Interaction
Interactive AI Chat Assistance
5. Engaging with the AI Chat Assistant
Accessing the Wizard Assistant:
- Interface Location: The Wizard Assistant appears as an interactive chat icon, typically positioned in the bottom right corner of portal pages
- Universal Access: Once enabled for your Security Role, the assistant is available across all portal areas and pages
- Chat Interface: Click the assistant icon to open the interactive chat interface with conversation capabilities
Starting Conversations:
- Welcome Message: The assistant greets users with "How can I help you today?" and displays predefined question prompts
- Predefined Questions: Click on suggested questions to quickly start conversations about common topics and procedures
- Custom Queries: Type specific questions or requests directly into the chat interface for personalized assistance
Effective Assistant Interaction
6. Maximizing Wizard Assistant Value
Question Formulation Strategies:
- Specific Inquiries: Ask direct, specific questions about procedures, policies, or portal functionality
- Context Provision: Provide relevant context about your role, objectives, or current situation when asking complex questions
- Multi-Part Questions: Break complex requests into specific, focused questions for more accurate responses
Conversation Management:
- Chat History: The assistant maintains conversation history, allowing for follow-up questions and continued dialogue
- Session Continuity: Previous conversations are accessible through the chat interface, enabling reference to past interactions
- New Conversations: Start new chat sessions using the "New chat" option for unrelated topics or fresh assistance
Assistant Response Utilization
7. Working with AI-Generated Responses
Response Evaluation:
- Accuracy Assessment: Review assistant responses for accuracy and relevance to your specific situation
- Source Verification: When possible, verify important information through additional sources or documentation
- Context Appropriateness: Ensure that suggested procedures and solutions align with your role permissions and organizational policies
Follow-Up Interaction:
- Clarification Requests: Ask follow-up questions if responses need additional detail or clarification
- Alternative Approaches: Request alternative solutions or approaches if initial suggestions don't meet your needs
- Escalation Guidance: Ask the assistant for guidance on escalation procedures if automated solutions are insufficient
Cross-Feature AI Integration
Coordinated AI Functionality
8. Leveraging Multiple AI Features Together
Integrated Workflow Approach:
- Search to Assistant: Use semantic search to identify relevant content, then engage the Wizard Assistant for detailed guidance on implementation
- Assistant to Support: If the Wizard Assistant cannot fully resolve an issue, transition to formal support with context from previous AI interactions
- Comprehensive Problem Solving: Combine multiple AI features for thorough investigation and resolution of complex issues
Information Discovery Strategy:
- Multi-Channel Search: Use both semantic search and Wizard Assistant queries to explore different aspects of complex topics
- Knowledge Base Navigation: Let AI features guide you through organizational knowledge and procedures efficiently
- Learning and Development: Use AI features to discover training resources, best practices, and procedural guidance
User Experience Optimization
Best Practices for AI Feature Usage
9. Maximizing AI Feature Effectiveness
Query Optimization:
- Clear Communication: Use clear, specific language when interacting with AI features to receive the most relevant responses
- Iterative Refinement: Refine questions based on initial results to narrow focus and improve response quality
- Context Building: Build context through follow-up questions rather than starting entirely new conversations for related topics
Expectation Management:
- AI Limitations: Understand that AI responses are based on configured content and may require verification for critical decisions
- Permission Boundaries: Recognize that AI features respect user permissions and may not have access to all organizational information
- Escalation Readiness: Be prepared to escalate to human support when AI solutions are insufficient for complex or sensitive issues
Feedback and Improvement
10. Contributing to AI Feature Enhancement
Usage Pattern Development:
- Consistent Utilization: Regular use of AI features helps identify optimization opportunities and usage patterns
- Feature Exploration: Explore different AI capabilities to discover the most effective tools for your workflow needs
- Feedback Provision: Provide feedback to administrators about AI feature effectiveness, accuracy, and user experience
Organizational Learning:
- Knowledge Sharing: Share successful AI interaction strategies with colleagues to improve organizational AI adoption
- Content Improvement: Identify gaps in AI responses that may indicate needs for additional knowledge base content
- Process Enhancement: Suggest process improvements based on AI feature usage and effectiveness observations
Troubleshooting AI Feature Issues
Common Usage Challenges
11. Addressing AI Feature Difficulties
Access Issues:
- Role Verification: Confirm that your Security Role includes access to the desired AI features
- Feature Availability: Verify that specific AI features have been enabled by administrators for your user community
- Browser Compatibility: Ensure that your browser supports AI feature functionality and interface elements
Response Quality Issues:
- Query Refinement: Modify question phrasing to improve response relevance and accuracy
- Context Addition: Provide additional context or background information to help AI understand specific requirements
- Alternative Approaches: Try different question formats or search terms to access information from different perspectives
Technical Difficulties:
- Interface Problems: Refresh the page or clear browser cache if AI interfaces are not loading properly
- Performance Issues: Report persistent performance problems to administrators for investigation and resolution
- Feature Malfunctions: Document and report any AI feature malfunctions or unexpected behavior for technical support
Using AI Features provides enhanced portal interaction capabilities that improve information discovery, problem resolution, and user productivity through intelligent, context-aware assistance that adapts to individual needs and organizational workflows while maintaining appropriate security boundaries and permission structures.
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