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AIV Calculator

AIV 2.0: asset value, value at risk, and control-adjusted exposure

AIV 2.0 separates what was economically invested in the AI system, what economic value could be affected by it, and what modeled exposure remains after controls.

AI Asset Value

$16,400,000

Economic investment in the AI system

AI Value at Risk

$106,657,792

Economic value potentially affected

Control-Adjusted Exposure

$64,875,761

Modeled exposure remaining after controls

Legacy AIV

$33,980,390

Original demo exposure measure

AI Asset Value

What was economically invested in the AI system: labor, model work, data, compute, integration, implementation, and replacement cost.

AI Value at Risk

What economic value could be affected by delegated authority, business dependency, operational role, data, IP, liabilities, and concentration.

Control-Adjusted Exposure

The modeled exposure remaining after considering approval, caps, monitoring, audit trail, fallback, kill switch, and other controls.

Business activity exposed

Adjust the assumptions to see how delegated authority and dependency change the exposure estimate.

Transparent calculation

Every component is shown so the methodology can be challenged, validated, or replaced by actuarial partners.

AI Asset Value

$16,400,000

AI Value at Risk

$106,657,792

Control-Adjusted Exposure

$64,875,761

Gross Economic Exposure

$84,680,000

Authority multiplier

0.55

Dependency multiplier

0.76

Control adjustment

0.96

Agent Insurable Value

$33,980,390

Why am I seeing AI Asset Value?

engineering labor: $3,100,000; model development: $1,200,000; training and testing: $1,800,000; data acquisition: $1,400,000; informational inputs: $900,000; token inference spend: $1,100,000; cloud compute spend: $1,100,000; third party technology: $800,000; integration: $2,000,000; implementation: $1,100,000; replacement reconstruction: $1,900,000

Why am I seeing AI Value at Risk?

Driven by annual revenue influenced, annual costs controlled, annual transaction value, maximum authority, operational dependency, downtime exposure, data/IP exposure, informational labor exposure, and concentration factors.

Why am I seeing Control-Adjusted Exposure?

Driven by AI Value at Risk, InclusionScore, and the enabled control set. Stronger controls reduce modeled exposure without eliminating economic dependency.

Gross Economic Exposure

Annual Revenue Influenced + Annual Costs Controlled + Annual Transaction Value + Estimated Downtime Exposure.

Estimated Downtime Exposure

Downtime Cost Per Hour x Expected Hours of Material Disruption.

Dependency Multiplier

0.25 + 0.75 x workflow dependency expressed as a decimal.

Control Adjustment

1.25 - 0.50 x normalized InclusionScore.

AIV

Gross Economic Exposure x Authority Multiplier x Dependency Multiplier x Control Adjustment.