Data flow
See where your AI data comes from, goes and remains
The proposed Werkborg data-flow format maps each implementation's components, data types, locations, transit, temporary and persistent storage, logging and deletion. No universal or production-validated data flow exists yet.
Intended delivery
Planned deliverable: an implementation-specific data map providing a shared factual basis for technical and privacy review.
Evidence required before delivery
- Required evidence: a diagram with actual systems, locations, data categories and trust boundaries.
- Required evidence: transit, storage, logging and deletion steps for each actual component.
- Current boundary: adapter 1.1.0, 150 + 120 frozen records and zero external actions do not prove a production data flow.
Authority boundary
What this solution explicitly does not promise
- 01
There is no universal Werkborg data flow; providers, connectors and customer environments change the route.
- 02
A diagram without current configuration and contract-chain evidence is not proof.
Next step
Start with one provable workflow.
No generic AI presentation. Bring volume, systems, exceptions and the human decision-maker.