OTOBO

AI-Powered Queue Routing for OTOBO

Custom model for your OTOBO queues — on-prem inference, same-day training, zero data export.

  • Custom model trained on your exact OTOBO queue definitions
  • On-premise inference — no ticket content leaves your network
  • Same-day training turnaround from QueueSpec
  • Native OTOBO integration via Generic Interface connector
Integration Flow

How It Works with OTOBO

Step 1

Define Your Queues

Provide your OTOBO queue names and short descriptions as a QueueSpec — no real tickets needed.

Step 2

We Train Your Model

Our EU-hosted training service generates synthetic data from your QueueSpec and trains a custom adapter. Typically same-day.

Step 3

Deploy On-Prem

Install OTAI Runtime Core via Docker Compose. Load your signed model artifact — inference runs entirely in your network.

Step 4

Go Live & Monitor

The OTOBO connector reads new tickets via Generic Interface and writes routing decisions back to dynamic fields. Monitor and retrain as needed.

Custom Model Training

Custom Models for Queue Classification

OTAI Studio configures your automation on-prem. Optional cloud training generates synthetic data and fine-tunes your model — then the signed artifact is downloaded to run inference locally. Fully on-prem training is available with a GPU. Other features like ticket summarization run on-prem without cloud training.

Cloud-Assisted Training Path

Cloud (EU) — Optional Training Services
Synthetic Data Generator

Creates training examples from your configuration metadata

Training Service

Supervised fine-tuning on cloud GPU hardware

Signed Model Artifact

Ready for one-time download to your infrastructure

Configuration Metadata

Queue names and descriptions only — no ticket data

Model Download
Your Infrastructure (On-Prem)
OTAI Studio

Configuration and control plane — always on your infrastructure

OTOBO

New tickets arrive for AI processing

OTAI Runtime + Connector

On-prem inference — CPU for routing, GPU optional for on-prem training

Tickets Enriched by AI

Classification, priority, and fields updated automatically

Privacy by design: No ticket data ever leaves your network. Only configuration metadata is sent for optional cloud training. Your custom model is downloaded once and inference runs entirely within your own secure infrastructure.

AI Capabilities

Fields AI Can Improve in OTOBO

OTAI doesn't just route to Queue — it can classify and populate multiple OTOBO fields automatically.

Queue

Queue Routing

Automatically route tickets to the correct OTOBO queue based on content analysis

Priority

Priority Classification

Set ticket priority by analyzing urgency signals in subject and body

Type

Type Classification

Classify tickets by tone (Incident, Service Request, Problem, etc.)

State

Status Prediction

Predict initial ticket state based on request tone

Dynamic Field

Custom Field Population

Fill OTOBO dynamic fields with AI-extracted structured data

Requirements

OTOBO 10.1+ (Community or Enterprise)
Docker / Docker Compose for OTAI Runtime
Generic Interface web service enabled
2 CPU cores, 4 GB RAM minimum

Common OTOBO Setups

Pre-built QueueSpec templates to get started quickly with OTOBO.

1

IT Service Management

Incident, Service Request, Change, Problem Management

2

Customer Support

Orders, Returns, Billing, Technical Support, Escalations

3

Internal IT

Hardware, Software, Network, Access, Onboarding/Offboarding

ROI Estimate

See Your Potential Savings

Example monthly savings from replacing manual ticket routing with OTAI. See the full page for the assumptions behind these figures.

Quick ROI Estimate

See how much OTOBO can save you

Small team (50 tickets/day)€3,500
Mid-size (200 tickets/day)€13,600
High volume (750 tickets/day)€54,500

estimated monthly savings vs. manual routing

See full ROI examples
Pricing

Editions

Pro: support & updates included. Enterprise: cloud-trained, no local GPU. Sovereign: fully air-gapped on your hardware. All tiers also available as a one-time perpetual license (no subscription required) — on request.

Community

Evaluate & test

Free
  • Queue Prediction
  • Up to 5 queues / values per attribute
  • Open source (LGPL), self-hosted
  • Community support
Available Now
MOST POPULAR

Pro

Everything to run in production

500 € /month
  • Queue & Priority Prediction
  • Up to 50 queues / values per attribute
  • High training limit
  • High-quality training, modern fine-tuned models
  • Support & updates included
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Sovereign

Fully air-gapped, on-premise training

On Request
  • Everything in Enterprise
  • Fully air-gapped — nothing leaves, not even metadata
  • On-premise training on your own GPU
  • Requires a GPU with at least 24 GB VRAM
  • Maximum data sovereignty & compliance
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Enterprise

CONTACT SALES

Scale, SLA & largest models

  • Everything in Pro
  • Unlimited queues / values per attribute
  • Largest / highest-quality models
  • Dedicated SLA support
  • Cloud-trained in the EU — no GPU required
  • On Request
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    Frequently Asked Questions

    Common questions about using OTAI with OTOBO .

    Ready to automate
    OTOBO routing?

    Get a custom queue model trained on your Queue definitions. Same-day turnaround, on-prem deployment.