Connect sources
Documents, videos, and (over time) existing systems, connected as they are.
OMK Access Aus der Branche heraus entwickelt
Ich arbeite als technischer Inspektor in einer Part-145-Wartungsorganisation. OMK Access ist aus dieser Beobachtung entstanden.
Developed inside a Part-145 maintenance organization
Das Problem
In technischen Organisationen wird ein großer Teil dessen, was den Betrieb am Laufen hält, nie schriftlich festgehalten:
Wenn dieses Wissen nur im Kopf von Menschen existiert, verschwindet es, wenn sie gehen.
Was wir festgestellt haben
Inside my own organization, I noticed that critical maintenance knowledge , the kind that determines whether a procedure is done safely and correctly , often exists only in the experience of specific technicians. When a question comes up that isn't clearly covered by the official documentation, the answer usually comes from asking the right person, not from consulting a system.
[...]
Der traditionelle Ansatz
Interviews. Slow, incomplete, dependent on who's available to talk.
Workshops. Expensive, static, limited to whoever is in the room.
Documentation. Often outdated by the time it's finished, because the organization kept changing while it was being written.
Die Erkenntnis
It lives in documents, in the way people describe their own work, in procedures that were never formally written but are followed every day. The knowledge doesn't need to be created from scratch , it needs to be extracted, connected, and made visible.
Die Lösung
A platform designed to take the scattered signals of how work actually happens and turn them into a clear, connected, navigable model of the organization.
Documents, videos, existing systems, connected as they are. No migration required.
AI helps build a first version of the operational model automatically.
Anyone can ask questions in plain language and get answers with real context.
So funktioniert es
Documents, videos, and (over time) existing systems, connected as they are.
Video upload and document scanning, to bring in the knowledge that was never written down.
Automatically identifies departments, processes, and people from what's connected.
The responsible expert reviews and refines what the AI proposed — this step is not optional; it is core to accuracy.
The model highlights which critical processes appear undocumented or dependent on a single person.
Anyone can ask a question and get an answer grounded in the actual structure of the organization.
Für Implementierungsteams
Information starts more structured, so teams spend fewer hours asking the same questions across departments.
The platform produces a first draft; the process owner refines it instead of starting blank.
A visual, navigable model instead of a static PDF that goes out of date immediately.
The platform surfaces undocumented critical processes instead of relying on someone noticing them by chance.
Designed with the standards of sectors like aerospace MRO in mind, where undocumented process knowledge isn't just inefficient , it's a compliance and safety exposure.
Every validated improvement remains available for future work across the same organization.
Für operative Unternehmen
New employees can query the model instead of waiting for someone to have time to explain.
The correct, current procedure is available exactly when it's needed, not just when someone remembers to document it.
Even the owner or manager can see how departments and processes actually connect, often for the first time.
Critical, hard-won know-how gets captured before the person who holds it retires or leaves.
Sicherheit & Vertrauen
To build a complete model, the platform needs to see an organization's documents and information. But what it keeps afterward is fundamentally different.
The platform sees documents and information in order to build the model.
Only the relationships , who does what, what connects to what , are stored long-term, not the raw underlying documents.
Each organization's data is kept completely separate from every other's.
Aktueller Stand
Identified from inside a real aerospace maintenance organization, where undocumented technical knowledge is a daily, tangible risk. An internal prototype is currently in development, testing how AI can help structure operational knowledge in a real technical environment.
Looking for a small number of early operational partners willing to validate this approach on real, specific use cases.
Built by someone working inside the industry it's meant to serve.
OMK Access wird entwickelt, um es sichtbar zu machen.