Documentation mapping to schema

Reports and forms contain useful facts, but people repeatedly transcribe them before another system can use them.

How this work runs.

The run as one route: which tools get involved, in what order, and where the chain is not mechanised yet.

DOCS, NO QUERY PATHOPERATOR CORRECTSaccept, edit, or rejectSCRIBEProfile, map, check, renderQUERYABLE RECORDSAn operator's documents become schema-conforming records their systems can actually query.

The scattered mark is the problem the run starts from. Every tool sits off the route it drives, glyph and name, and opens its own page. A diamond is a decision the work cannot pass without today, with no tool yet doing it. The accented mark near the end is the named solution, into Solutions; the line beneath it is the outcome the run closes on.

What this work delivers.

Structured records linked to their source documents, checked against a chosen schema and reviewed where interpretation is needed.

  1. Choose the target

    Define the fields and relationships the resulting records must carry. The target may be a hub, application or exchange schema.

  2. Interpret the source

    Scribe profiles the documents and proposes how their content maps to the target.

  3. Render and review

    Check the structured output against the source. Keep evidence links and flag ambiguous or unsupported values.

  4. Capture corrections

    An operator resolves exceptions. Corrections inform subsequent mappings without changing the original evidence.

Conforming a record does not prove its claim true. The source, its date and the quality of supporting evidence still matter.

Explore Scribe

Which tools, in what capacity.

actuate

Scribe

Runs the whole loop: profiles, proposes, checks and renders

substrate

Manifold

Routes the model calls Scribe makes

Put this to work in your context.

Tell us what you need to achieve and what you already have.