Automated IT Administration with AI
IT teams operate under massive pressure: skill shortage, ticket loads, documentation duties, security requirements, grown system landscapes. We build AI agents and workflows that relieve IT administration — controlled, integrated, operational. The human stays in charge wherever risk, responsibility, or approval demand it.
For whom, what problem, what outcome
IT operations teams, service managers, and KRITIS owners battling ticket backlogs, monitoring noise, and documentation debt. Where skill shortage meets growth and "answering the same question for the hundredth time" causes burnout. Result: noticeably relieved teams, shorter reaction times, higher ticket quality, current documentation — and less knowledge loss on staff changes.
Typical use cases
- Ticket classification, smart prioritization, automatic routing (KIX, OTRS, Jira, Zammad, ServiceNow)
- Monitoring event analysis: filter noise, cluster root causes, propose solutions
- Runbook suggestions on recurring incidents — the agent shows what worked last time
- Script and solution support — PowerShell, Bash, Ansible snippets put in context
- Change preparation with automatic risk analysis against affected CIs and services
- Operational documentation generated from tickets, changes, logs — no more doc debt
- CMDB enrichment — derive missing relations from logs, monitoring, configuration
- Vulnerability management: CVE stream + EPSS + asset context → prioritized patch recommendations
- Service catalog support and request pre-qualification
Vulnerability management as sub-discipline
Our previous focus on AI-powered vulnerability research is now part of automated IT administration. We combine CVE feeds, EPSS scores, your asset inventory, and threat intelligence into prioritized recommendations: what to patch today, what can wait, where residual risk is acceptable. Tools like Nessus, OpenVAS, Trivy, Grype, Wazuh are integrated; AI assesses context, not the isolated vulnerability.
AI security audit as prerequisite
Before AI goes into IT administration in production, we audit the pipeline for prompt injection, data leakage, tool abuse, and model drift. Threat modeling, red-teaming with PyRIT/Garak/Promptfoo, and findings with CVSS-AI score are part of every IT admin automation project. Security is built in, not bolted on.
How we work
- IT operations as-is — we shadow the service desk, read ticket histories, look at monitoring dashboards and doc state. Feeling becomes data.
- Use-case selection — where is the highest effort at lowest risk? Classic: ticket classification and doc maintenance first, change risk analysis later.
- ITSM & monitoring integration — wired into your ticket system, monitoring stack (Zabbix, Grafana, Prometheus, Datadog), CMDB, and auth. No island.
- Human-in-the-loop design — where may the agent act autonomously, where only suggest? Clear approval logic, traceable in the audit log.
- Eval, ops, drift detection — golden test set from historic tickets, continuous scoring, alert on degraded quality. Roll-back path always ready.
Tech stack
Deliverables
- AI agent for ticket triage, integrated into your ticket system with audit trail
- Monitoring classifier filtering noise and clustering events
- Runbook generator suggesting historic solutions in context
- Vulnerability prioritization workflow with CVE/EPSS/asset context
- Doc assistant generating knowledge articles from ticket/change streams
- Operations runbook with roll-back path, drift alarm, model versioning
- Training of your IT team in maintenance and extension of the agents
Customer benefit
- Relief for IT teams: fewer hours on recurring classification and routing
- Less routine work, more time for architecture, security, growth
- Better ticket quality and faster reaction times
- Standardized administration — less "the other colleague does it differently"
- Current documentation, because it is generated from operations data
- Less knowledge loss on sickness, holidays, staff changes
- Controlled automation with a complete audit trail — KRITIS- and ISO-suitable
Compliance & standards
- ITIL/ITSM-compliant process integration — no parallel world next to your ITIL framework
- ISO/IEC 27001 and ISO/IEC 42001 as assessment frame for IT security and AI governance
- BSI IT-Grundschutz and BSI C5 where industry or contract requires it
- NIS-2 and KRITIS — auditability, model versioning, complete audit trail
- EU AI Act: risk-tier assessment, human-in-the-loop on high-risk decisions
FAQ
Do we need a complete CMDB before we start?
No. On the contrary — many customers use automation to complete their CMDB. AI agents derive relations from logs, monitoring data, configurations, suggest missing entries, and the human confirms. The CMDB grows in operation, no big-bang project needed.
What if the AI agent routes a ticket wrong?
Wrong routings are corrected by the service desk team (normal ITSM workflow), and the correction feeds into the test set. Drift monitoring alerts on degraded quality, then we check whether model or classification scheme need rework. Roll-back to rule-based routing is always possible.
Can the agent change configurations autonomously?
Only where you explicitly permit it and only for low risk classes — cache reset, service restart after health-check, routine cleanup. For impactful changes: human-in-the-loop. Agent prepares, human approves. The split is in the architecture, not the prompt.
We have strict KRITIS requirements. Is that possible?
Yes — it is in fact our focus. On-premise hosted models (Gemma, Llama, Mistral) on your infrastructure, no outbound API calls, complete audit trail, model versioning, eval gates before every deploy. NIS-2 and BSI IT-Grundschutz are in the design, not stamped on later.
How quickly do we see the effect?
Ticket classification: 2–3 weeks to first productive model, 4–6 weeks to measurable service-desk relief. Monitoring triage and doc care take longer, more integration. Vulnerability prioritization typically 6–8 weeks including asset context.
Discuss automated IT administration
What ticket volume, what monitoring load, what doc debt? Describe your IT operations — we respond with a first assessment of where automation pays off fastest.
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