AI governance
A metadata and classification system for a document repository: six field categories, a dedicated profile per document type, and validators that catch every deviation. AI assigns the metadata; every outcome traces back to a registered rule.
traceable · every outcome, to a registered rule
01
Keeping thousands of documents consistent doesn't work on discipline alone. Without enforceable metadata a repository grows crooked: every file with slightly different fields, nothing findable with certainty. This system makes metadata a rule instead of a habit.
02
A metadata schema with six field categories, from identification to relations, and a dedicated profile per document type: fixed core fields plus type-specific fields, tied to a fixed document structure. Validators reject any field that is not registered; AI assigns each document its type, its place and its metadata.
03
AI classifies, but never freely: every assignment follows a registered rule and can be traced back to it. Nothing unregistered enters the repository, and the ground rules are documents themselves, with the same metadata. The system keeps explaining itself.
What it delivers in findability, maintenance and certainty.
instant
Findable without digging
Type, place and relations are on every document. Finding means filtering, not searching.
rules
Maintenance means adjusting rules
A new document type or field is one more register entry. No migration project.
nothing
Nothing unregistered gets in
Validators reject unknown fields. Quality doesn't depend on who is writing.
Book a call
Briefly tell me where you stand. Within one business day you'll hear whether I can help.
