I am looking to have an AI help desk ticket resolution system built that needs minimal oversight

AI-Powered Help Desk Ticket Assistant Project Overview I am seeking a developer to build an AI-powered Help Desk Ticket Assistant designed to improve support efficiency by automating common Tier-1 support tasks while maintaining human oversight for complex issues. The system should integrate with common help desk platforms and assist support agents by classifying tickets, suggesting resolutions, generating responses, and automatically handling routine requests when confidence levels are high. Business Goal Reduce help desk workload by automating repetitive support requests such as: - Password reset guidance - VPN troubleshooting - Account access issues - Software installation requests - Basic hardware troubleshooting - Frequently asked questions The objective is to reduce ticket resolution time and improve agent productivity while maintaining accuracy and security. Core Features Ticket Intake The system should accept tickets from: - Email - Web forms - ServiceNow - Zendesk - Jira Service Management - Freshservice AI Ticket Analysis Automatically determine: - Ticket category - Priority level - Suggested department - Sentiment analysis - Confidence score Knowledge Base Search The system should search approved documentation and support resources including: - PDFs - Word documents - Internal SOPs - Knowledge articles - FAQs The AI should use Retrieval-Augmented Generation (RAG) to ensure responses are based on company-approved documentation. AI Response Generation Generate draft responses for support agents that include: - Issue summary - Suggested troubleshooting steps - Recommended next actions - Relevant knowledge articles Automated Resolution Allow automatic responses for approved low-risk scenarios such as: - Password reset instructions - VPN setup guidance - Software installation procedures - Common FAQ requests High-risk requests should always require human review. Escalation Workflow Escalate tickets automatically when: - Confidence scores are low - Security concerns are detected - Multiple failed resolution attempts occur - Human approval is required Dashboard Provide a dashboard showing: - Tickets processed - Suggested resolutions - Automation rate - Escalation rate - Average response time - Knowledge base usage Technical Requirements Backend: - Python - FastAPI AI: - OpenAI API - LangChain or LangGraph Database: - PostgreSQL Vector Database: - ChromaDB or Pinecone Frontend: - React or Next.js Deployment: - Docker - AWS, Azure, or Google Cloud Deliverables - Complete source code - Deployment documentation - API documentation - Docker configuration - User guide - Administrator guide - Knowledge base management tools - Testing and validation reports Success Criteria The completed solution should: - Automatically classify support tickets - Suggest accurate resolutions for common issues - Reduce Tier-1 support workload - Improve average response times - Integrate with major help desk platforms - Maintain security and auditability Please provide examples of previous AI, automation, RAG, customer support, or help desk projects.