ARI Asset Risk Intelligence

Asset Risk & Insurance Intelligence

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ARI
Filters, tabs, and scenario controls

Asset Risk & Insurance Intelligence

National KSA prototype to prioritize critical assets, run stress scenarios, compare insurance options, and quantify expected annual loss, recovery, premiums, and residual risk.

320 calibrated synthetic assets
Real/referenceSaudi regional structure13-region reporting frame.
ReferenceKSA map outlineInline vector outline approximates the actual country shape for visualization; not official GIS.
SYNTHETICAssets, values, losses, premiumsAll asset records and insurance outputs are synthetic and stress-tested for demo use.
Assets shown
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Filtered portfolio
Replacement value
-
Synthetic USDm
Expected annual loss
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Scenario-adjusted
Expected recovery
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Coverage-adjusted
Estimated premium
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Illustrative premium
Residual risk
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Risk retained
Positioning: This is a decision-support prototype. It uses reference geography for framing and synthetic, stress-tested financial data for analytics.

Core Metric Definitions i

Hover the info icon to view EAL, recovery, and residual-risk formulas.

Executive storyline

The tool supports a practical risk financing conversation.

ClassifySegment assets by region, category, hazard, and risk band.
PrioritizeRank assets by risk, criticality, and dependency.
InsureCompare premium, recovery, and residual risk.
SimulateStress-test scenarios and retained exposure.

Risk Band Distribution

Gross-to-Residual Risk Bridge

Top Regional Residual Risk

Insurance Portfolio Mix Over Time

Illustrative evolution of portfolio allocation across insurance mechanisms.

Insurance Efficiency Over Time

Illustrative trend of recovery per $1 premium.

KSA Map

Offline SVG map using Natural Earth country boundary coordinates. It does not rely on external tiles or offline SVG. Use the zoom controls to inspect Saudi Arabia and neighbouring countries.

Real/referenceCountry boundariesSaudi Arabia and neighbouring country outlines use Natural Earth-style country boundary coordinates from the world.geo.json dataset.
Source: Natural Earth-derived world.geo.json country boundaries.
ReferenceRegion labelsSaudi region labels are approximate anchor locations for navigation only, not official region polygons.
Source: reference coordinates embedded in prototype.
SYNTHETICAsset pointsAsset locations, values, losses, premiums, residual risk, and risk bands are synthetic and calibrated for demonstration. Hover over a marker for details.
Source: synthetic asset register.
Map controls: use + / − to zoom, then click-drag or touch-drag the map to pan left, right, up, or down.
Critical High Medium Lower

Scenario Lab

Choose a stress event, tune assumptions, then run the simulation. Every parameter below includes a description and data-source status.

Selects which hazards receive scenario uplift when the simulation is run.
Source: synthetic scenario design
Locks in the selected scenario preset and applies scenario parameters to the filtered portfolio.
Source: dashboard interaction
Event severity1.25x
Multiplier applied to loss for assets affected by the selected stress event.
Source: synthetic stress assumption
Assets affected55%
Share of hazard-relevant assets assumed to be impacted in the simulated event.
Source: synthetic exposure assumption
Claims inflation8%
Additional uplift to claims cost due to repair inflation, supply-chain pressure, or surge demand.
Source: synthetic claims assumption
Mitigation degradation10%
Assumes controls perform worse than expected during a severe event.
Source: synthetic operational resilience assumption
Recovery capacity shock0%
Adjusts insurance recovery ratio for affected assets, reflecting limits, exclusions, or improved coverage.
Source: synthetic insurance assumption
Premium market hardening15%
Additional premium loading after a stress event or market hardening cycle.
Source: synthetic pricing assumption

Scenario Calculation Methodology i

Hover the info icon to view formulas and assumptions.

Simulation Waterfall

Base EAL to simulated residual risk.

Financing Stack

How the simulated loss is absorbed.

Impact by Hazard

Impact by Region

Sensitivity Drivers

Top Assets Driving Scenario Loss

Priority Score Methodology i

Hover the info icon to view the priority score formula and scoring assumptions.

Top Priority Assets

Risk Before vs After Insurance

Insurance Metric Definitions i

Hover the info icon to view premium, efficiency, and protection-gap definitions.

Insurance Portfolio Mix

Premium, recovery, and residual risk by insurance option.

Insurance Efficiency

Expected recovery per $1 of premium.

Insurance Portfolio Mix Over Time

Illustrative portfolio allocation 2020–2035. Full-width responsive stacked chart.

Insurance Efficiency Over Time

Illustrative recovery-per-premium trend. Full-width responsive line chart.

Coverage Gap by Insurance Option

Premium vs Recovery Scatter

Regional Residual Risk Ranking

Regional Expected Recovery

Data Sources & Assumptions i

Sources consolidated from the embedded dashboard references.

Synthetic Asset Data

The analytical dataset in this prototype is synthetic and embedded directly in the HTML.

SYNTHETIC Asset register Asset IDs, names, sectors, cities, regions, latitude/longitude points, replacement values, criticality, likelihood, impact, vulnerability, interdependency factors, risk bands, and GIS exposure flags are synthetic demonstration records.
In-file reference checked: const DATA contains 320 KSA-AS synthetic asset records.
SYNTHETIC Risk and insurance outputs Expected annual loss, PML, coverage ratio, expected recovery, estimated premium, residual risk, protection gap, premium efficiency, and recommended insurance option are calculated from synthetic assumptions.
In-file references checked: metric tooltips cite synthetic actuarial-style, residual-risk, and insurance assumptions.
SYNTHETIC Scenario Lab assumptions Event severity, affected asset share, claims inflation, mitigation degradation, recovery-capacity shock, and premium hardening are illustrative stress-test parameters for demonstration only.
In-file reference checked: Scenario Calculation Methodology tooltip identifies synthetic stress logic.

Vector Map Data

Map geometry is vector data embedded in the HTML; it does not use external tile services.

VECTOR Saudi Arabia boundary The Saudi Arabia outline is stored as inline longitude/latitude coordinate arrays and rendered as SVG. It is appropriate for dashboard context and not official legal or cadastral boundary data.
In-file reference checked: const KSA_OUTLINE provides the embedded country polygon coordinates.
VECTOR Neighbouring country boundaries Neighbouring country outlines are embedded vector coordinates derived from Natural Earth / world.geo.json-style country boundary data for visual geographic context.
In-file reference checked: map notes cite Natural Earth-derived world.geo.json country boundaries.
REFERENCE Region labels and anchors Saudi regional labels use approximate latitude/longitude anchor points for navigation. They are not official administrative polygons.
In-file reference checked: const REGION_CONTEXT stores 13 region label anchor coordinates.
SYNTHETIC Map asset markers Asset markers on the map come from the synthetic asset register, including synthetic locations, values, losses, premiums, residual risk, and risk bands.
In-file reference checked: KSA Map side note identifies asset points as synthetic asset register data.

Asset Register

Search, sort, click an asset row for drill-down, or export filtered data.