Reserve Estimation Workflow
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Quick Answer
The Reserve Estimation Workflow uses AI to calculate initial claim reserves by analyzing claim characteristics and comparing against historical similar claims. AI provides reserve estimates with confidence intervals, improving reserve accuracy and reducing reserve development over claim lifecycle.
Definition
Key Points
- Analyzes claim characteristics: type, severity, damages, jurisdiction, liability
- Identifies historical comparable claims (similar characteristics)
- Calculates reserve estimate using ensemble of prediction models
- Provides confidence interval (e.g., $15K-$25K with 80% confidence)
- Segments reserves by coverage: liability, medical, property, legal
- Updates reserves automatically as new information emerges
- Reduces reserve development (changes) by 30-40%
- Improves financial accuracy and reduces reserve volatility
How It Works
Claim Characteristic Extraction
Extract key characteristics: claim type, injury description, property damage, liability scenario, claimant demographics, jurisdiction.
Historical Comparables
Query historical claims database for similar claims. Filter by claim type, injury/damage severity, jurisdiction, and settlement year.
Feature Engineering
Create predictive features: injury severity index, damage cost indicators, jurisdiction multipliers, claimant risk factors.
Ensemble Prediction
Run multiple prediction models (regression, random forest, gradient boosting). Aggregate predictions for robust estimate.
Reserve Segmentation
Segment total reserve by coverage type: medical payments, property damage, liability, legal defense costs.
Confidence Interval
Calculate prediction confidence interval. Wider intervals indicate higher uncertainty requiring adjuster review.
Adjuster Review
Present reserve estimate with confidence interval, comparable claims, and key assumptions. Adjuster approves or adjusts.
Continuous Update
As claim develops (medical reports, repair estimates, liability determinations), update reserves automatically.
Reserve Estimation Factors
Claim Factors: Loss type (auto, property, liability), injury severity (minor, moderate, severe), property damage extent, liability clarity (clear vs. disputed)
Jurisdiction Factors: State/county location, local jury verdict trends, attorney representation rates, average settlement multipliers
Claimant Factors: Age, occupation, prior claim history, legal representation, treatment provider patterns
Historical Data: Similar claims from past 3-5 years, adjusted for inflation, settlement trends, recent jury verdicts
When Adjuster Review Required
- •Wide confidence interval (>50% of estimate) indicating high uncertainty
- •Limited historical comparables (fewer than 10 similar claims)
- •Novel claim scenario not well-represented in training data
- •Reserve estimate exceeds adjuster's reserved authority
- •Significant coverage or liability questions remain unresolved
- •Catastrophic injury or death requiring senior adjuster expertise