Risk Exposure Estimator Guide
Underwriting pressure usually comes from a few exposure buckets, not every metric at once. The goal is to identify those buckets before renewal discussions become defensive.
What the score is trying to simplify
Businesses hold exposure data in separate operational systems. Revenue sits in finance, payroll in HR, property values in fixed-asset schedules, fleet counts in operations, and cyber record counts in security reviews. The estimator pulls those into one practical underwriting-prep view.
The five main exposure buckets
Property: values, site concentration, and catastrophe sensitivity.
Liability: revenue and payroll footprint that imply operating scale.
Cyber: data footprint and breach-response severity risk.
Fleet: vehicle count and related operational controls.
Workforce: employee scale, people risk, and employer-side exposures.
Why country context matters
The same business can look different to underwriters in the UK, EU, US, and Australia. Litigation environment, catastrophe concentration, compulsory cover structures, and regulator expectations all change what gets emphasized first.
How to use the output operationally
- Load current exposure estimates.
- Identify the highest-scoring buckets.
- Check whether those buckets match recent pricing pressure.
- Use the mismatch, if any, as the basis for broker challenge and data cleanup.
Use revenue, payroll, property, fleet, and cyber footprint inputs to find the first places underwriting pressure is likely to show up.
Use the Risk Exposure Estimator →