Risk levels determine how strict the compliance AI system must be, how many controls are installed, and how aggressively the system escalates issues to human review.
The IGS Logic Corporate AI Compliance Architecture uses seven risk levels to properly map governance requirements across industries and regulatory environments. Use this framework to identify which tier applies to your organization.
4 questions · takes under 2 minutes
Answer four questions about your organization's AI use case, data environment, regulatory oversight, and compliance stakes. We'll route you to the risk tier that best matches your profile across the seven-level IGS Logic architecture.
This is a directional tool — not a formal assessment. For a complete governance and risk analysis, request a full assessment below.
| Risk Level | Industry Example | Security Tier | Deployment Timeline |
|---|---|---|---|
| Level 1 — Informational | Marketing agency, SaaS startup | Security Tier 1 | 6 – 7 weeks |
| Level 2 — Administrative | HR teams, professional services | Security Tier 1 | 6 – 7 weeks |
| Level 3 — Operational | Construction, manufacturing, logistics | Security Tier 2 | 6 – 8 weeks |
| Level 4 — Regulatory | School districts, licensed services | Security Tier 2 | 7 – 9 weeks |
| Level 5 — Controlled Data | Healthcare clinics, financial services | Security Tier 3 | 8 – 10 weeks |
| Level 6 — Financial / Legal Liability | Investment firms, law firms | Security Tier 4 | 10 – 12 weeks |
| Level 7 — Critical Infrastructure | Hospitals, defense contractors | Security Tier 4 | 12 – 14 weeks |
Click any row to expand that risk level above.
The quiz above gives you a directional read. Our full Risk Classification Assessment goes deeper — identifying your risk level, liability exposure, compliance gaps, and the disciplined internal controls and governance guardrails required to protect leadership and the institution.
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