Methodology
How the Quiet AI Standard is scored, and how a review is run. The framework is published so you can judge our rigor.
The Standard
The Quiet AI Standard evaluates AI governance across four pillars, each worth 25 points, for a total of 100: Fairness and Non-Discrimination; Transparency and Explainability; Data Governance, Privacy and Security; and Accountability and Oversight.
Evidence maturity
Every finding is graded for the strength of its evidence, from E0 (unsupported) through self-attested, public, client document, tested or corroborated, up to E5 (monitored). A strong score resting on limited evidence is shown as such.
How a review is run
A review is run by an AI-assisted diagnostic engine and is reviewer-signed. Each finding is drafted, challenged by a second pass, and confirmed by a third that checks every citation against its source. No score is awarded without a specific supporting source. Where evidence is ambiguous or incomplete, the lower score is recorded; the engine is built to under-state rather than over-state.
Score and tier are separate
The tier you choose sets how deeply we look. The score is an independent diagnostic out of 100 that reflects the depth of evidence examined, not a rank, and it is reported independently of the tier. Quiet AI does not pass or fail anyone, and reviewer confidence is reported separately from the score.
Review tiers, by depth
- Silver: online search and self-attestation, a baseline diagnostic.
- Gold: adds a structured questionnaire and public-source verification.
- Platinum: adds document and evidence review.
- Diamond: adds continuous monitoring within a defined scope.