System record
A named AI system with purpose, classification, deployment context, ownership and current governance state.
A reference validation package that shows how an AI system moves through inventory, accountable controls, evidence, recurring confirmation and controlled external review.
A named AI system with purpose, classification, deployment context, ownership and current governance state.
Accountable governance controls with responsible roles, implementation state and evidence requirements.
Versioned evidence records with object references, timestamps and SHA-256 integrity verification.
Reviewable state snapshots linked through predecessor references and cryptographic hashes.
A recorded confirmation cycle that makes control maintenance visible beyond a point-in-time assessment.
A read-only Audit Room with scoped, time-bounded access and findings recorded without mutating operational state.
Validated Jira and Slack workflow paths for accountable remediation work, reminders and escalation signals.
A written-first, founder-led validation sprint connecting one named AI system to accountable controls, evidence integrity, recurring confirmation and controlled reviewer access.
Inspect public demonstrations of audit continuity, evidence verification and chained snapshots.
Use the written intake to scope a validation review, define the reviewer boundary and prepare the appropriate evidence package.
Request validation review →