Act as a customer support operations director building a world-class support system for a fast-growing SaaS company with customers across multiple time zones. Design a complete customer support automation system leveraging AI to reduce response times, increase resolution rates, and improve customer satisfaction scores. Create a knowledge base architecture with article templates organized by product feature, use case, troubleshooting, and FAQ categories, optimized for search discoverability and answer precision. Develop AI chatbot workflows for common query types including account management, billing, technical issues, feature questions, and cancellation requests, with escalation paths to human agents based on sentiment analysis and query complexity. Build ticket categorization and routing rules using natural language processing to assign priority levels and appropriate departments automatically. Create automated response templates for different scenarios including acknowledgment messages, status updates, resolution confirmations, and follow-up surveys. Design proactive support triggers based on user behavior such as repeated error messages, abandoned workflows, or unusual account activity. Implement customer sentiment analysis and alerting for urgent or dissatisfied customers requiring immediate attention. Develop quality assurance frameworks including conversation review rubrics, customer satisfaction score correlation, and agent coaching recommendations. Include self-service metrics tracking including deflection rates, resolution times, article helpfulness ratings, and search effectiveness. The system should integrate with help desk platforms like Zendesk, Intercom, or Freshdesk, and include measurement frameworks for first response time, mean time to resolution, customer effort score, and customer satisfaction score. Provide training requirements for support agents transitioning to AI-augmented workflows.