Claims Leakage Detection Software for Insurance Carriers                                

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# Leakage-detection models benchmarking settlements against similar historical claims  
— Insurance Underwriting (Insurtech)

**Solving:** Claims settled above appropriate value due to inconsistent adjuster benchmarking

## Machine Learning Architecture

Leakage-detection models benchmarking settlements against similar historical claims

Python, Pandas, React

## Validated Business Impact

Reduces claims leakage by 19.1%

## Technical FAQ

### How does JSRRB Technologies solve claims settled above appropriate value due to inconsistent adjuster benchmarking?

We deploy leakage-detection models benchmarking settlements against similar historical claims. Typical result: reduces claims leakage by 19.1%.

### What technology and security model powers this Insurance Underwriting solution?

The solution is engineered on Python, Pandas, React, deployed under JSRRB's zero-trust architecture so your proprietary Insurance Underwriting systems and data stay encrypted and are never exposed to public AI training models.

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