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Open Ticket AI

OTAI Runtime

  • Overview
  • OTOBO / Znuny Setup Guide
  • Ticket System Integration

OTAI Studio

  • Overview
  • Installation
  • Signing in to OTAI Studio
  • Studio Dashboard
  • AI Tasks
  • Classification AI tasks
  • Summary AI tasks
  • Reply draft AI tasks
  • Title rewrite AI tasks
  • Updates
  • Backups and restore
OTAI Labs

Zammad MCP Server

  • Overview
  • Zammad MCP Server — Agent Workflows
  • Zammad MCP Server — Claude & Cursor Setup
  • Zammad MCP Server — Configuration
  • Zammad MCP Server — Deployment
  • Zammad MCP Server — Quick Start
  • Zammad MCP Server — Security
  • Zammad MCP Server — Tools Reference

Zammad Commander

  • Overview

OTOBO Python SDK

  • Overview
  • Getting Started
  • Webservice Setup
  • CLI Reference
  • API Reference
  • Working with Tickets
  • Migration
  • Architecture

Znuny Python SDK

  • Overview
  • Getting Started
  • Webservice Setup
  • CLI Reference
  • API Reference
  • Working with Tickets
  • Migration
  • Architecture
News & Blog
  • All Articles
  • Zammad MCP Server for Zammad 7.1: Production Setup with Cursor and Claude
  • On-Prem Ticket AI in 2026: Models You Can Run on One GPU
  • On-Prem Ticket AI: GPU Hardware You Need and What It Really Costs
  • Znuny-LLM: A Practical Guide to Self-Hosted AI for Znuny [2026]
  • Best Ollama Model for Zammad AI: On-Premise LLM Guide [2026]
  • Zammad Commander: An Open-Source Internal AI Chat for Zammad
  • Zammad MCP Server: Setup Guide for Claude and Cursor
  • Zammad 7 AI Features: Complete Guide to AI-Powered Helpdesk [2026]
  • AI Ticket Classification Without Historical Ticket Data: A Privacy-First Training Guide
  • Automation in the Znuny Ticket System: Practical Workflows for Faster, More Consistent Support
  • Open-Source AI Ticket System: Best Options in 2026
  • OTOBO Ticket Automation: How to Automate Workflows, Routing, and Triage in OTOBO
  • Zammad 7.0 On-Premise: Full AI Power Without Your Data Leaving the Server
  • AI Ticketing Systems: Revolutionizing Customer Support Through Intelligent Automation
  • AI-Powered Ticket Classification: Unlocking Support Excellence Through Machine Learning
  • Evaluating AI Ticket Classifiers: Essential Metrics for Imbalanced Data Performance
  • Labeling 10,000 Tickets Efficiently: AI-Powered Semi-Automated Strategies That Scale
  • How to Fine-Tune an AI Model with Your Own Ticket Data: Complete Training Guide
  • Zammad Integration for Open Ticket AI: On-Prem Classification over the REST API
Open Ticket AI

OTAI Runtime

  • Overview
  • OTOBO / Znuny Setup Guide
  • Ticket System Integration

OTAI Studio

  • Overview
  • Installation
  • Signing in to OTAI Studio
  • Studio Dashboard
  • AI Tasks
  • Classification AI tasks
  • Summary AI tasks
  • Reply draft AI tasks
  • Title rewrite AI tasks
  • Updates
  • Backups and restore
OTAI Labs

Zammad MCP Server

  • Overview
  • Zammad MCP Server — Agent Workflows
  • Zammad MCP Server — Claude & Cursor Setup
  • Zammad MCP Server — Configuration
  • Zammad MCP Server — Deployment
  • Zammad MCP Server — Quick Start
  • Zammad MCP Server — Security
  • Zammad MCP Server — Tools Reference

Zammad Commander

  • Overview

OTOBO Python SDK

  • Overview
  • Getting Started
  • Webservice Setup
  • CLI Reference
  • API Reference
  • Working with Tickets
  • Migration
  • Architecture

Znuny Python SDK

  • Overview
  • Getting Started
  • Webservice Setup
  • CLI Reference
  • API Reference
  • Working with Tickets
  • Migration
  • Architecture
News & Blog
  • All Articles
  • Zammad MCP Server for Zammad 7.1: Production Setup with Cursor and Claude
  • On-Prem Ticket AI in 2026: Models You Can Run on One GPU
  • On-Prem Ticket AI: GPU Hardware You Need and What It Really Costs
  • Znuny-LLM: A Practical Guide to Self-Hosted AI for Znuny [2026]
  • Best Ollama Model for Zammad AI: On-Premise LLM Guide [2026]
  • Zammad Commander: An Open-Source Internal AI Chat for Zammad
  • Zammad MCP Server: Setup Guide for Claude and Cursor
  • Zammad 7 AI Features: Complete Guide to AI-Powered Helpdesk [2026]
  • AI Ticket Classification Without Historical Ticket Data: A Privacy-First Training Guide
  • Automation in the Znuny Ticket System: Practical Workflows for Faster, More Consistent Support
  • Open-Source AI Ticket System: Best Options in 2026
  • OTOBO Ticket Automation: How to Automate Workflows, Routing, and Triage in OTOBO
  • Zammad 7.0 On-Premise: Full AI Power Without Your Data Leaving the Server
  • AI Ticketing Systems: Revolutionizing Customer Support Through Intelligent Automation
  • AI-Powered Ticket Classification: Unlocking Support Excellence Through Machine Learning
  • Evaluating AI Ticket Classifiers: Essential Metrics for Imbalanced Data Performance
  • Labeling 10,000 Tickets Efficiently: AI-Powered Semi-Automated Strategies That Scale
  • How to Fine-Tune an AI Model with Your Own Ticket Data: Complete Training Guide
  • Zammad Integration for Open Ticket AI: On-Prem Classification over the REST API
  1. Docs
  2. / Open Ticket AI
  3. / OTAI Studio documentation

OTAI Studio documentation

Guide for installing, configuring, and operating on-prem OTAI Studio.

OTAI Studio documentation

Guide for installing, configuring, and operating on-prem OTAI Studio.

  • Installation
  • Signing in to OTAI Studio
  • Studio Dashboard
  • AI Tasks
  • Classification AI tasks
  • Summary AI tasks
  • Reply draft AI tasks
  • Title rewrite AI tasks
  • Updates
  • Backups and restore
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Private, on‑premise AI for ticket automation.

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