Products
© Fiskil 2026. All rights reserved.
Insurance
Risk Underwriting
Traditional insurance underwriting relies on limited data points. Fiskil enables more accurate risk assessment by analyzing financial behavior, stability, and patterns from banking data.
Insurers lack visibility into financial behavior that indicates risk, leading to mispriced policies.
Traditional underwriting misses key risk indicators
Good risks subsidize bad risks due to crude segmentation
No insight into financial stability and responsibility
Adverse selection from information asymmetry
Can't differentiate between similar-looking applicants
Analyze banking behavior patterns to assess financial stability, responsibility, and risk indicators.
Evaluate income stability, savings patterns, and financial buffer as risk indicators.
Assess financial responsibility through bill payment patterns and debt management.
Identify risk-correlated spending patterns (gambling, alcohol, risky activities).
Machine learning models predict claim likelihood from financial behavior.
Enhance underwriting models with banking behavior analysis.
During application, request optional banking access for improved pricing.
API analyzes 6-12 months of banking data for risk indicators.
Receive comprehensive risk score based on financial behavior patterns.
Use risk score to offer better pricing to low-risk customers.
Stable income reduces claim risk - score employment consistency and income reliability.
Customers with savings are less likely to claim - evaluate emergency fund adequacy.
Bill payment patterns indicate general responsibility and claim risk.
Spending patterns correlated with claim risk (gambling, alcohol, extreme sports).
High debt burden correlates with claim frequency - assess debt-to-income ratio.
Machine learning models trained on banking patterns predict claim probability.
An auto insurer uses financial behavior to refine risk segmentation.
Result: Loss ratio improved by 8% through better risk pricing based on financial stability.
A life insurer analyzes lifestyle spending patterns for underwriting.
Result: Identified low-risk customers for 15% premium discounts, increasing market share.
An income protection provider assesses job stability from banking patterns.
Result: Reduced claim rate by 12% through better risk selection.
POST /insurance/risk-assessmentGET /accounts/{accountId}/financial-stabilityGET /insurance/risk-scoreGET /accounts/{accountId}/lifestyle-indicatorsFinancial stability score
Income reliability
Savings adequacy
Payment reliability
Lifestyle risk indicators
Overall risk score
OAuth 2.0 / CDR consent
Yes
Income stability, savings adequacy, debt burden, payment reliability, and lifestyle risk patterns.
Banking behavior provides current, verified data about financial stability and responsibility that traditional underwriting misses.
Yes, low-risk customers can receive discounted premiums by sharing banking data that proves low risk.
Yes, when properly implemented, financial behavior is an acceptable underwriting factor.
All access requires explicit consent, and customers benefit from more accurate risk-based pricing.
Studies show financial stability and responsibility correlate strongly with claim frequency across insurance types.
Most effective for life, income protection, and car insurance where financial behavior correlates with risk.
Lending
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Insurance
Verify insurance premium payment history automatically from banking transactions. Reduce lapsed policies and improve underwriting with payment verification.
Join hundreds of companies using Fiskil to power their insurance applications. Get started today with our developer-friendly API.
Products
© Fiskil 2026. All rights reserved.