OSAIby iBANK
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AGENT 27 / 11 · RETAIL & E-COMMERCE · INSURANCE OPERATIONS

Actuarial Risk Modeler

Simulates expected claims frequency and severity from historical loss data, then builds up a risk-adjusted premium the way a pricing actuary would document it.

READS FROMHistorical claims/loss data, applicant risk factors
MCP SERVERInsurance Data Server
MODELRouted to reasoning-tier open model
HANDS OFF TOFNOL Intake Agent
RUN THE AGENT

Set the risk class, build the premium

Adjust claims frequency, severity and risk factors and the agent recalculates the quoted premium instantly.

ASSUMPTIONS

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Pure risk cost
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Risk-adjusted premium
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Final quoted premium
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Expected loss ratio
MetricValue
HOW IT WORKS

What the agent actually does

1. Simulate loss vectorsModels expected claims frequency and severity for the risk class from historical loss data.
2. Apply individual risk factorsAdjusts the pure risk cost for the applicant's specific risk factors — location, age, claims history.
3. Load for expenses and marginAdds the insurer's expense ratio and target margin, then applies any eligible discounts.
4. Hand offIssues the quoted premium to underwriting, and feeds the realized loss ratio back into the next pricing cycle.
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