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AI Integration 🤖

Add Intelligence to Your Conversations with OpenAI GPT Transform your chatbots from simple rule-based systems to intelligent conversational assistants powered by OpenAI’s GPT technology.

Getting Started with AI

Enable AI Integration

Go to Communication Hub → Bot Manager → AI Settings

Choose Your Model

  • GPT-3.5 Turbo (recommended for most use cases)
  • GPT-4 (advanced reasoning and complex tasks)
  • GPT-4 Turbo (latest model with improved performance)

Configure Basic Settings

  • Set your business context
  • Define AI personality
  • Configure response parameters
  • Set usage limits

Train Your AI

  • Upload FAQs and knowledge base
  • Provide conversation examples
  • Set brand voice guidelines
  • Define restricted topics

AI Configuration Options

Context Settings

Business Context: Define what your business does, products/services, and key information the AI should know. Personality: Set the tone and style:
  • Professional and formal
  • Friendly and casual
  • Helpful and supportive
  • Enthusiastic and energetic

Response Parameters

  • Temperature: Control creativity vs consistency (0.1-1.0)
  • Max Tokens: Limit response length (50-500 tokens)
  • Presence Penalty: Encourage topic diversity
  • Frequency Penalty: Reduce repetitive responses

Safety & Compliance

  • Content filtering
  • Topic restrictions
  • Escalation triggers
  • Compliance monitoring
⚠️ Important: Always test AI responses thoroughly and have human oversight for critical customer interactions.

Use Cases

Customer Support

  • Answer frequently asked questions
  • Provide product information
  • Troubleshoot common issues
  • Guide customers through processes

Sales Assistance

  • Product recommendations
  • Feature comparisons
  • Pricing information
  • Lead qualification

Content Generation

  • Social media posts
  • Email responses
  • Product descriptions
  • Marketing copy

Best Practices

Training Your AI

  1. Provide Clear Context: The more context you give, the better responses you’ll get
  2. Use Examples: Show the AI how you want it to respond
  3. Set Boundaries: Define what topics the AI should and shouldn’t discuss
  4. Regular Updates: Keep your AI training current with business changes

Monitoring Performance

  • Review AI conversations regularly
  • Track customer satisfaction scores
  • Monitor escalation rates
  • Analyze response accuracy

Optimization Tips

  • Start with conservative settings
  • Gradually adjust based on performance
  • A/B test different configurations
  • Gather customer feedback
🎯 Success Metric: Businesses using AI integration see 60% faster response times and 85% customer satisfaction rates while reducing human agent workload by 40%.

Fallback Strategies

When AI Can’t Help

  • Graceful escalation to human agents
  • Predefined fallback responses
  • Knowledge base suggestions
  • Contact information provision

Error Handling

  • Network connectivity issues
  • API rate limiting
  • Unexpected responses
  • System maintenance

Advanced Features

Custom Training

  • Industry-specific knowledge
  • Company policies and procedures
  • Product catalogs and specifications
  • Historical conversation data

Multi-language Support

  • Automatic language detection
  • Native language responses
  • Cultural context awareness
  • Regional customization

Ready to make your bots intelligent? Set up Live Chat for seamless AI-to-human handoff.