They shape what runs locally, where data sits, how systems connect, and who remains responsible.
These rules tell us what can fail, what must stay under customer control, and where people remain in charge.
The system closest to the work should keep working when the network does not.
Essential analysis and operational decisions run at the site. Cloud services can support the fleet, but they do not sit inside the critical loop.
Disconnect the uplink. The local operational loop continues.
Ownership should be visible in the architecture, not buried in a policy.
Operational records, model activity, and evidence remain inside the customer's boundary. Access, retention, and export are designed around that ownership.
AirGuard stays useful without collecting a parallel copy.
Tools change. The customer's ability to choose should survive those changes.
We keep clean boundaries between clouds, radio vendors, and models. Connections can change without forcing a rebuild of the system around them.
Replace one dependency. The rest of the system keeps its shape.
Adoption should be incremental, and removing a part should remain possible.
Each product can work on its own. Shared components add value when they are present, but no module exists only to force another purchase.
Remove one module. The remaining system still works and explains itself.
AI can narrow choices and surface evidence. It cannot inherit responsibility.
Recommendations carry context, confidence, and supporting evidence. Consequential actions still pass through a person or an explicit policy owned by one.
Every production action names who or what authorized it.
These rules help us refuse shortcuts, even when the shortcut would make a demonstration easier.