Use this page when a board, insurer, accreditation cycle, or internal AI rollout has made governance feel urgent. It shows what Moirai records, what stays outside scope, and why setup starts with a founder-led fit check.
Buyer proof docket
Fit check before setupRisk
Namedbuyer pressureRecord
Sampledfile outputGate
Fit firstpaid setupFailure mode
The failure mode is not lacking interest in AI governance. It is being unable to show a dated owner decision, evidence gap, source change, or board-ready file when scrutiny arrives.
Score, evidence gaps, RANZCR mapping, tool-level risk, and a 30/90 day action plan.
Owner, use case, regulatory status, current risk, incidents, evidence state, and next review.
Hash-based proof link for report and decision-pack integrity without opening the private workspace.
This outreach path works because it does not ask a practice to buy a platform from a promise. It lets the buyer inspect the proof artifact, confirm the no-PHI boundary, and decide whether AI Governance Setup is worth paying for.
Board request, insurer question, RANZCR preparation, accreditation cycle, or an internal rollout can all become the first proof event.
The sample pack shows the AI Governance File shape, owner sign-off, source decisions, residual risk, and public-safe verifier path before setup.
Fit checks and setup preparation do not require patient data, imaging files, clinical reports, or identifiable records.
Name the deployed or planned AI tools that would matter if a reviewer asked tomorrow.
Identify the board, insurer, accreditation, or owner pressure that triggered the review.
Open the sample file and confirm whether this is the artefact your practice actually needs.
Use the fit check to decide whether Growth, Scale, or Enterprise setup is justified.