Starting point
Standard cases eat capacity
In daily MSP operations the same cases repeat: passwords, printers, permissions, onboarding. Small on their own, clearly noticeable month after month.
IT operations have to be predictable, fast, and controllable. nordnung.ai grew out of the day-to-day operations of SecureVibe IT Solutions GmbH in Hamburg, not out of a trend deck.
Mission
Today's AI models are capable enough to do real work inside a company. Our mission follows from that: two steps, one result.
Step one
In most companies, AI still stops at answering: the model writes, a person copies it into the system. We give the AI colleague controlled access to real systems so it executes instead of only answering. Without access, AI stays a chat window.
Step two
Capability without limits is not autonomy, it is risk. So we draw limits as strong as the model itself: permissions per agent, human approval, audit log, and kill switch. Our view from IT security: access only comes with control. Hosted in Germany, built for GDPR.
Result
Together, this makes the AI colleague part of IT operations: it handles IT work like a colleague, from tickets to audits, resolves standard cases in minutes instead of in the queue, and works around the clock. The IT team wins back the time that today sits in tickets, for projects, security, and decisions.
The trigger came from our own operations: more than half of all support hours went into recurring standard cases: password resets, onboarding, permissions. Instead of hiring more people, we built an AI colleague that handles this work under control. First for ourselves.
That is why our numbers are not projections: they come from 1,348 real, individually classified customer tickets, operating hours since 2023. nordnung.ai has run in our own IT operations since July 2026.
Because we come from operational IT, approvals, security, hosting in Germany, and GDPR are the foundation from day one, not an afterthought. Control over arbitrariness.
Starting point
In daily MSP operations the same cases repeat: passwords, printers, permissions, onboarding. Small on their own, clearly noticeable month after month.
Insight
Answers are not the point. Controlled execution is: approvals, boundaries, traceable documentation. Governance became the core of the product.
Today
nordnung.ai is a standalone product for autonomous IT operations in enterprise environments, controlled AI automation instead of yet another AI interface.
nordnung.ai is the AI colleague for IT operations. It is built by a small founding team with an engineering focus.

CEO & Co-Founder
Product, market, and years of IT management practice. Focused on solutions that work operationally and economically.

COO & Co-Founder
Technical depth rooted in IT security and a GDPR-oriented operating mindset. Automation has to run securely and cleanly in production.

CTO & Co-Founder
Technology and product: agent architecture and controlled, auditable execution. Background in digitalization and automation.