AI-Driven Helpdesk (ADH)

A modern, intelligent support platform that combines AI-powered automation with enterprise security and infrastructure autonomy.

ADH is an advanced helpdesk solution designed to transform IT operations through intelligent automation, privacy-first AI integration, and proactive system management. Built for enterprise environments, it delivers immediate value through AI-assisted support while maintaining strict data sovereignty and compliance standards.

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The Problem ADH Solves

Modern IT departments face critical operational challenges that traditional helpdesk solutions cannot address:

Operational Inefficiency

• Repetitive Manual Tasks: IT teams spend significant time on routine ticket handling, password resets, and basic troubleshooting that could be automated.
• Reactive Infrastructure: Systems are monitored reactively, leading to outages and service degradation instead of proactive prevention.
• Asset Visibility Gap: Manual asset tracking results in inaccurate CMDB records, leaving organizations blind to their infrastructure.

Security & Compliance Risks

• Data Privacy Concerns: Integrating external AI services exposes sensitive corporate data and employee PII to third-party vendors.
• Regulatory Compliance: Organizations cannot meet data residency and sovereignty requirements with cloud-dependent solutions.
• Prompt Injection Vulnerabilities: AI-driven systems are susceptible to manipulation through malicious user input.

User Experience Limitations

• Slow Support Response: Manual processes delay problem resolution, impacting user productivity.
• Inconsistent Support Quality: Helpdesk quality depends on staff availability and expertise levels.

ADH's Solution

ADH addresses these challenges through:

• AI-Powered Automation: Semantic Kernel orchestration reduces manual workload by intelligently triaging and responding to support requests.
• Privacy-by-Design: Built-in PII scrubber removes sensitive information before AI processing; full support for sovereign AI deployments via Ollama.
• Infrastructure Autonomy: Proactive self-healing monitors disk space, restarts failing services, and performs preventive maintenance automatically.
• Automated Asset Discovery: LDAP/Active Directory integration and network scanning maintain an accurate, up-to-date CMDB.
• Real-Time Support: SignalR-powered chat interface with streaming responses provides immediate assistance to end users.

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Key Features

• Intelligent Chat Assistant — AI-powered support interface with real-time streaming and live status indicators
• Privacy-First AI — Automatic PII scrubbing and support for air-gapped deployments with local LLMs
• Self-Healing Infrastructure — Proactive monitoring and automated remediation of common issues
• Asset Intelligence — Automatic discovery and inventory management via LDAP, Active Directory, and network scanning
• Jira Integration — Seamless ticket management and workflow orchestration
• Prompt Injection Protection — Security-hardened AI prompts resistant to manipulation attacks
• Real-Time Notifications — Live updates and status streaming via SignalR
• Sovereign Deployment — Full support for private, air-gapped environments with no external dependencies

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Technology Stack

Backend

• .NET 10 (C#) — Modern, high-performance application framework
• Clean Architecture — Maintainable, testable, and scalable design patterns
• Entity Framework Core — Data access and ORM
• Microsoft Semantic Kernel — AI orchestration and LLM integration
• SignalR — Real-time bidirectional communication

Frontend

• React 19 with TypeScript — Modern, type-safe UI framework
• Vite — Next-generation build tool for fast development
• Tailwind CSS — Utility-first styling framework
• Shadcn UI — High-quality, accessible component library

Data & Infrastructure

• PostgreSQL — Robust relational database
• pgvector — Vector similarity search for semantic search capabilities
• Docker & Docker Compose — Containerized deployment and orchestration
• LDAP/Active Directory Integration — Enterprise authentication and asset discovery

AI & Integrations

• Microsoft Semantic Kernel — LLM orchestration and prompt management
• Ollama — Local LLM deployment for sovereign AI
• Jira API — Enterprise ticket system integration

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Getting Started

Prerequisites

• Docker and Docker Compose
• .NET 10 SDK (for local development)
• Node.js 18+ and npm (for frontend development)
• PostgreSQL 14+ (if running without Docker)

Quick Start

1. Clone the repository:

   git clone <repository-url>
   cd ADH

2. Configure environment variables:

   cp .env.example .env
   # Edit .env with your configuration

3. Start the application:

   docker-compose up --build

4. Access the application:

   • Frontend: http://localhost:3000
   • API Documentation: http://localhost:5000/swagger

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Architecture Overview

ADH follows a layered architecture pattern:

• API Layer — RESTful endpoints with comprehensive error handling and validation
• Application Layer — Business logic, DTOs, and validators following CQRS patterns
• Domain Layer — Core entities and business rules
• Infrastructure Layer — Data persistence, external integrations, and background services

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Security & Compliance

ADH implements security as a core design principle:

• Prompt Injection Protection — Hardened prompt templates and input validation
• Automated Data Sanitization — PII scrubber prevents sensitive information from reaching AI models
• Air-Gapped Deployment — Full support for offline environments with local LLMs and no external API calls
• LDAP/AD Integration — Enterprise authentication and authorization
• Role-Based Access Control — Granular permission management for multi-tenant environments
• Audit Logging — Complete activity tracking for compliance audits