Enterprise AI governance

NAIGIS

NAIGIS gives organizations and public stakeholders a clearer way to understand how AI is governed. It organizes policies, controls, risk categories, evidence records, model oversight, standards alignment, and executive accountability into a single public-ready authority model. NAIGIS is designed to move AI governance beyond self-attestation toward evidence-backed oversight.

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What this system does

NAIGIS is the enterprise governance and integrity system for AI programs, model oversight, compliance mapping, organizational controls, risk reporting, standards alignment, and accountable AI operations.

  • AI governance policy and control mapping
  • Model, agent, workflow, and vendor oversight
  • Standards, legal, and sector-risk alignment
  • Evidence-backed risk reporting and leadership accountability
  • PublicTrust AI safety disclosure and complaint/appeal pathways
  • NAIGIS Mobile access for public verification, safety disclosure, and user account controls
Public Knowledge

Plain-language context for public trust.

Auvexra pages are written for public understanding. They avoid internal engineering labels and focus on what people can verify, what the system does, and where users can exercise privacy or account rights.

NAIGIS does not treat vendor claims as proof; it requires evidence, test history, review state, and status records.

Governance status should make limitations, restrictions, and human supervision requirements understandable.

Public AI trust must include a path to complaint, appeal, correction, and redress where people are affected.

NAIGIS separates enterprise control records from public-safe transparency records.

Mobile and account coverage

  • NAIGIS Mobile supports public AI safety lookup, reliability profile review, complaint filing, appeal filing, proof-pack review, and account deletion requests.
  • NAIGIS Mobile may collect account, contact, verification, support, diagnostic, and submitted content data depending on user actions.
  • NAIGIS Mobile public views must only display redacted PublicTrust-safe records.

Expected outcomes

  • Organizations can show how AI is governed without exposing private infrastructure or protected records.
  • Public stakeholders can understand AI oversight, safety posture, and available remedies.
  • AI governance moves from policy documents to operational evidence.