Secondary solution · Insurance
Turn physical-risk mitigation into quantified avoided loss.
Support risk teams with asset-level mitigation evaluation, portfolio triage, adaptation ROI, and resilience-adjusted reporting without implying a finished underwriting product.
Resilient World Model
Cocoa supply resilience scan
Baseline climate conditions are simulated against resilient future interventions to quantify financial, environmental, and social delta.
Baseline yield-at-risk
24%
Exposure before adaptation
Avoided-loss model
$11.8M
Illustrative seasonal delta
Supplier resilience
81 / 100
Future-state score
Sector problem
Risk transfer cannot price resilience clearly without comparable mitigation metrics.
Physical risk mitigation is often visible locally but hard to translate into portfolio-level avoided loss. Insurers need defensible ways to compare baseline risk, intervention impact, residual exposure, and resilience reporting across heterogeneous assets and geographies.
Resilient workflow
Plan, implement, measure, evaluate, report.
A shared operating model for moving from climate-risk signal to resilience investment case.
01
Plan
Prioritise projects, assets, suppliers, and geographies against baseline climate conditions.
02
Implement
Translate interventions into trackable resilience programmes with cost, timing, and operational assumptions.
03
Measure
Use geospatial AI, Earth Observation, hyperlocal models, and digital twins to monitor performance.
04
Evaluate
Compare baseline exposure with resilient future states and quantify avoided-loss and ROI.
05
Report
Package decision-grade resilience metrics for finance, operations, risk, and external stakeholders.
Example scenario
Baseline versus resilient future state.
Each scenario is illustrative demo data designed to show the product logic, not customer data or financial advice.
Illustrative demo scenario · Asset risk mitigation
Flood mitigation translated into avoided-loss reporting.
A mixed asset portfolio faces recurring flood exposure. Resilient compares baseline physical-risk layers with a resilient future state after drainage, site hardening, and nature-based buffer interventions.
Baseline conditions
- —High flood exposure across priority assets
- —Limited comparability between mitigation projects
- —Residual risk reported qualitatively
Resilient future state
- —Mitigation package tied to avoided-loss estimates
- —Portfolio triage by risk reduction and payback
- —Resilience-adjusted reporting support
Avoided loss
$8.4M
Illustrative annualised delta
Asset exposure
−31%
Demo exposure reduction
Risk tiers
5 → 3
Portfolio triage bands
Illustrative demo data for product storytelling; not customer, investment, or underwriting advice.
Sector metrics
Decision-grade resilience metrics.
Metrics are designed to help teams compare interventions, report outcomes, and justify adaptation investment.
Avoided loss
$8.4M
Estimated financial loss reduction after mitigation.
Residual exposure
−31%
Exposure remaining after intervention assumptions.
Mitigation ROI
2.6×
Risk reduction versus intervention cost.
Asset priority
Tier 1–5
Portfolio triage for mitigation sequencing.
Reporting status
Audit-ready
Structured resilience metrics for stakeholder reporting.
Use cases
Insurance use cases.
Focused entry points for teams that need practical resilience intelligence without overclaiming product maturity.
Asset-level risk mitigation
Portfolio triage
Adaptation ROI
Resilience-adjusted underwriting support
Risk-reduction reporting
Early access
Build the case for insurance resilience.
Use Resilient to compare baseline conditions, resilient future states, and quantified ROI before adaptation capital scales.