HowAISafe is AI governance evidence management software that turns scattered AI use into an owned inventory, explainable risk triage, evidence-backed controls and a defensible audit trail.
Private workspace · Immutable activity history · US and global framework context
Illustrative product preview, not customer data or a compliance result.
Built for security, privacy, legal, procurement and business owners to work from the same facts.
Capture purpose, model or vendor, owner, lifecycle, markets, data class and human impact in one owned inventory.
Deterministic risk triage shows why each system needs review, with jurisdiction flags and the limits of the score.
Assign controls, add evidence notes, move work through review and record who accepted it.
Keep who changed what and when in an immutable history, ready for audit and leadership review.
HowAISafe uses public, high-level framework mappings to organize work. It does not reproduce paid standards or turn a checklist into a certification claim.
Every system keeps one record; each lens shows what that framework would ask about it.
Risk triage supports governance decisions. It is not legal advice, certification or a guarantee of compliance.
Answer a few questions to see the priority, the reasons behind it and the controls it would create.
Free workspace during product validation. For a governed rollout, review design-partner scope and boundaries first.