Professional Governance Triage

Estimate AI governance exposure - and see what to fix first.

A directional, executive-grade triage for CISOs, governance leaders, internal audit, and executive sponsors. Assess likely unauthorized AI usage, control maturity, and scenario-based exposure - without overstating legal conclusions.

Built for enterprise teams that need prioritization now and evidence later.

This estimate is directional and designed for governance prioritization, not legal determination.

Quick executive estimate

Provide a concise profile of your organization's AI exposure, operating context, and current controls.

Business profile

These inputs provide the scale and operating context for the estimate.

Annual revenueEnter global annual revenue in USD millions.Total employee countApproximate total employees across the organization.IndustrySelect the closest operating profile.

Exposure context

These inputs help estimate where uncontrolled AI usage may create material governance risk.

Data sensitivityChoose the highest-sensitivity data category commonly involved in AI-assisted work.EU exposureReflect direct operations, customer footprint, employee footprint, or material EU-facing activity.Main AI usage patternSelect the usage mix that best reflects current employee behavior.Primary data used with AISelect the most sensitive category likely to be used with AI tools.

Governance posture

These inputs indicate how strongly current controls can reduce unmanaged AI risk.

Approved AI tools availabilityIndicate how broadly employees have access to approved enterprise AI tools.Policy maturityReflect both formal policy and real-world adoption.Monitoring and technical controlsConsider logging, DLP, browser controls, CASB/SSE, or related oversight mechanisms.

AI governance expectations are taking effect in phases. A single deadline view is insufficient; enterprise teams should assess readiness now.