Score your organization's AI governance maturity in 90 seconds. Most AI teams are operating at Stage 1, sitting on unmitigated regulatory and operational risk. Find out where you are, what's missing, and what to do next.

AI Governance Maturity Score | Architecture of Proof

Your AI Governance Maturity Score

Where are you? Where do you need to be?

Most AI teams are operating at Stage 1, sitting on unmitigated regulatory and operational risk. Answer 12 questions and get your score, gap analysis, and personalized roadmap — in under 90 seconds.

Score My Org → ⏱ 90 seconds

The 4-Stage Maturity Model

The 4 Stages of AI Maturity
Stage 1
Statistical
Pilot
Stage 2
Evidence
Collection
Stage 3
Control
Tiers
Stage 4
Causal
Diagnostics

Stage Definitions

Stage 1 · Most AI teams
Statistical Pilot
Business Risk: Unmitigated liability. No fiduciary defensibility. Post-hoc explainability (SHAP/LIME) is insufficient for high-stakes audits.
Stage 2
Evidence Collection
Business Risk: Partial coverage. Logs exist but are not causally linked, making root-cause analysis slow and expensive.
Stage 3
Control Tiers
Business Risk: Manageable. Autonomy tiers and automated escalation provide a defensible operating model for most regulators.
Stage 4 · Gold Standard
Causal Diagnostics
Business Risk: Minimal. Full causal traces and replayable audit trails allow you to scale autonomy aggressively with total confidence.
Maturity: Stage 1

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