Under contract · 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.
