Your AI Deployment
Configure your organization's AI usage parameters to model governance risk exposure.
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Calculation Methodology & Data Sources
- Hallucination rates based on published LLM benchmark data (GPT-4: 2.5%, Claude: 2.1%, open-source models: 3-8%). Blended rate of 3.2% used for "No Governance" baseline.
- Industry liability multipliers derived from average claim values: Financial Services 4x (SEC/FINRA enforcement), Healthcare 3x (HIPAA/malpractice), Legal 5x (malpractice/fiduciary), Technology 2x, Government 3.5x.
- EU AI Act fine exposure based on Article 99: up to 35M EUR or 7% of global turnover for prohibited practices; 15M EUR or 3% for provider obligations. Calculator uses conservative 15M EUR baseline scaled by deployment size.
- EVE governance reduces hallucination rate to 0.08% via deterministic charter enforcement, CRD scoring, and three-plane architecture verification.
- Current governance method effectiveness: None (0% reduction), Manual Review (30%), Basic Filters (45%), Competitor Products (60%).
- Agent multiplier: each additional agent increases attack surface by 8% due to inter-agent communication and delegation chain risks.
- All figures are annualized estimates. Actual liability depends on jurisdiction, contract terms, and specific deployment context.