Most AI strategies name a duty.We measure how deep it goes.

Meridian grades every commitment on a five-rung ladder, from a stated aspiration to an enforceable duty.

OECD · AI Policy Observatory

The OECD read the governance commitments in the world’s national AI strategies.

Most of them commit to less than they appear to.

  • Mostset out actions and goals.
  • About halfname a budget, or who is accountable.
  • A minorityever set a date.

One document.Eight verdicts.

Read against forty-three international frameworks, across eight dimensions of governance. Not the industrial policy, the compute or the skills.

We grade force, not vocabulary.

  1. T0Aspirational
  2. T1Intentional
  3. T2Assigned
  4. T3Obligatory
  5. T4Enforceable

Other tools check whether the words appear. We check what they oblige anyone to do, and what follows if nobody does.

No claim without a citation.

Every line of the brief carries the passage it came from. Nothing here asks to be taken on trust.

Not our opinion of good governance. Theirs.

UNESCO, the OECD, UNDP, the G7 Hiroshima process, the EU AI Act, NIST and the UN digital compacts, at the versions named beside them. The roster is configuration, not code, so it moves as the frameworks do.

Eight dimensions, read at once.

Transparency. Accountability. Privacy. Safety. Human autonomy. Inclusivity. Fairness. Environmental sustainability. Each one gets a coverage verdict, a depth stage and the binding force behind it, scored on evidence rather than intent.

Ask it why. It cites the paragraph.

Every finding can be questioned in plain language, and every answer comes back with the framework text it rests on.

8

governance dimensions

per strategy

43

frameworks indexed

config/frameworks.yaml

96.4%

of citations confirmed at source

showcase runs, 8 countries

1,320

tests passing

CI, 80% coverage

The verdict is not the model’s opinion.

Four rules sit under every reading. They run in code, the same way every time, which is what makes a score arguable on the evidence.

T0-T4

The normative-force ladder

Every provision is graded from a stated value to a duty backed by a consequence, by who it binds, how firmly and with what penalty: the Abbott and Snidal legalization framework, applied provision by provision.

0

Verdicts the language model sets

Coverage and depth are computed in code from counted, classified provisions. The language model is shown the verdict and explains it; it cannot set one, and cannot raise one.

5

Depth stages

Unaddressed, Emerging, Delegated, Operationalized, Institutionalized. A fixed scale means two analyses of two countries are actually comparable.

96%

Citations confirmed at source

Every quoted excerpt is checked against the passage it cites. One that cannot be confirmed is marked unverified, with the reason, rather than quietly kept.

Nothing is asserted. Everything is traced.

A score you cannot audit is an opinion with a number on it. Each of the four stages below writes down what it did, so the brief at the end comes apart line by line: back through the reasoning, back to the paragraph it came from.

01

Ingestion

The document is split on its own headings, paragraphs intact. Nothing is summarised away before it is scored, and nothing is scored out of context.

02

Retrieval

Each passage is embedded and ranked per governance dimension, so a reading sees the paragraphs that bear on it and none of the ones that do not.

03

Analysis

Eight readings against the frameworks that govern them. Deterministic guardrails sit under each verdict, so it is not one the model can talk itself into.

04

Brief

The findings become a document a minister can act on: what is covered, what is missing, what to do first, and the citation behind every line.

You already have the AI governance framework.Find out how deep it goes.