Your AI Deployment
Configure your organization's AI usage parameters to model governance risk exposure.
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What one governance failure actually costs
The calculator models your blended exposure. Here is the other way to read it — the price tag on a single event that deterministic, signed evidence is built to prevent.
Governance failureIllustrative costWhat drives the number
Failed regulatory exam → MRA remediationCompliance / safety-and-soundness finding
$500K–$2M+
Lookback review, outside consultants, and added control staffing to clear a Matter Requiring Attention.
Fair-lending investigation or settlementECOA / FHA · redlining or disparate impact
$2M–$30M+
Public DOJ / CFPB consent orders pair a civil penalty with a consumer remediation fund.
Adverse-action notice failuresECOA / Reg B · FCRA
$100K–$1M+
FCRA statutory damages run $100–$1,000 per affected consumer (15 U.S.C. §1681n) and scale with class size.
Model-risk findings remediationSR 11-7 model validation
$250K–$1M+
Independent validation, documentation rebuild, and re-validation cycles to close examiner findings.
EU AI Act non-complianceHigh-risk system obligations
€35M / 7%
Article 99 administrative fines: up to €35M or 7% of global annual turnover, whichever is higher.
EVE CoreGuard's Enforcement license is $150,000 / year.
A single prevented event in any row above more than pays for it — and leaves behind the signed, replayable record that keeps the row from happening.
See pricing & pilot
Illustrative ranges drawn from public regulatory penalty caps, published enforcement actions, and statutory damages — not EVE customer results. Actual exposure depends on jurisdiction, portfolio size, and contract terms.
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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.
- "What one governance failure actually costs" figures are illustrative public-record ranges, not EVE customer outcomes: fair-lending figures from published DOJ/CFPB consent orders (civil penalty + consumer remediation fund); adverse-action exposure from FCRA statutory damages of $100–$1,000 per consumer (15 U.S.C. §1681n) scaled by class size; exam and model-risk remediation from typical lookback, validation, and consultant program costs; EU AI Act from Article 99 fine caps (€35M or 7% of global turnover).
- EVE CoreGuard pricing referenced ($150,000/yr Enforcement license) is the published list price; see the pricing page for current tiers and the $37,500 design-partner pilot.
- All figures are annualized estimates. Actual liability depends on jurisdiction, contract terms, and specific deployment context.