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Afrexai Insurance Claims

Insurance Claims Processor

1kalin0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install 1kalin/afrexai-insurance-claims

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Insurance Claims Processor

Process, analyze, and optimize insurance claims. Covers property, liability, workers' comp, auto, and professional indemnity.

What This Does

Takes raw claim details and produces:

  • Structured claim summary with policy coverage mapping
  • Liability assessment with supporting/weakening factors
  • Reserve estimate with confidence range
  • Subrogation opportunity analysis
  • Red flag detection (fraud indicators, coverage gaps)
  • Settlement recommendation with negotiation range
  • Regulatory compliance checklist by jurisdiction

Usage

Provide claim details in any format — adjuster notes, policyholder statement, incident report, photos, or free text. The agent structures everything.

Quick Claim Analysis
Analyze this claim: [paste details]
Full Processing
Process claim for:
- Policy type: [commercial general liability / property / WC / auto / PI]
- Incident date: [date]
- Reported date: [date]
- Claimant: [name/entity]
- Description: [what happened]
- Claimed amount: [if known]
- Policy limits: [if known]
- Jurisdiction: [state/country]

Claim Analysis Framework

1. Coverage Determination
  • Map incident to policy provisions
  • Identify applicable endorsements and exclusions
  • Flag coverage disputes early
  • Check occurrence vs claims-made triggers
2. Liability Assessment

Score 1-10 on insured liability exposure:

  • 1-3: Strong defense position, deny or minimal settlement
  • 4-6: Mixed liability, negotiate
  • 7-10: Clear insured liability, reserve and settle

Factors evaluated:

  • Comparative/contributory negligence (jurisdiction-specific)
  • Statutory obligations
  • Contractual indemnity provisions
  • Prior loss history pattern
3. Reserve Estimation

Three-point estimate:

  • Low: Best case with strong defense
  • Mid: Most likely outcome
  • High: Worst case including litigation costs

Include:

  • Indemnity reserve
  • Defense costs (inside/outside limits)
  • Allocated loss adjustment expense...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-insurance-claims
Version
—
Commit
0fc37cc5045effdd21b486f6351141a58cb668f9
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

Insurance Claims Processor

Turn raw claim data into structured analysis with liability scoring, reserve estimates, fraud detection, and settlement strategy.

Covers property, liability, workers' comp, auto, and professional indemnity claims across US and UK jurisdictions.

Install

clawhub install afrexai-insurance-claims

What You Get

  • Coverage mapping — matches incidents to policy provisions, endorsements, exclusions
  • Liability scoring — 1-10 scale with comparative negligence analysis
  • Reserve estimates — three-point (low/mid/high) with ALAE/ULAE breakdown
  • Fraud detection — pattern-based red flag scoring
  • Subrogation analysis — recovery potential and cost-benefit
  • Settlement strategy — opening position, authority range, mediation vs litigation
  • Compliance timeline — jurisdiction-specific deadlines and bad faith triggers

Who This Is For

  • Claims adjusters processing high volume
  • Insurance operations managers automating triage
  • Risk managers handling self-insured retentions
  • TPAs standardizing claim handling procedures
  • InsurTech teams building claims automation

More From AfrexAI

Contenu extrait

SKILL.md
# Insurance Claims Processor

Process, analyze, and optimize insurance claims. Covers property, liability, workers' comp, auto, and professional indemnity.

## What This Does

Takes raw claim details and produces:
- Structured claim summary with policy coverage mapping
- Liability assessment with supporting/weakening factors
- Reserve estimate with confidence range
- Subrogation opportunity analysis
- Red flag detection (fraud indicators, coverage gaps)
- Settlement recommendation with negotiation range
- Regulatory compliance checklist by jurisdiction

## Usage

Provide claim details in any format — adjuster notes, policyholder statement, incident report, photos, or free text. The agent structures everything.

### Quick Claim Analysis
```
Analyze this claim: [paste details]
```

### Full Processing
```
Process claim for:
- Policy type: [commercial general liability / property / WC / auto / PI]
- Incident date: [date]
- Reported date: [date]
- Claimant: [name/entity]
- Description: [what happened]
- Claimed amount: [if known]
- Policy limits: [if known]
- Jurisdiction: [state/country]
```

## Claim Analysis Framework

### 1. Coverage Determination
- Map incident to policy provisions
- Identify applicable endorsements and exclusions
- Flag coverage disputes early
- Check occurrence vs claims-made triggers

### 2. Liability Assessment
Score 1-10 on insured liability exposure:
- **1-3**: Strong defense position, deny or minimal settlement
- **4-6**: Mixed liability, negotiate
- **7-10**: Clear insured liability, reserve and settle

Factors evaluated:
- Comparative/contributory negligence (jurisdiction-specific)
- Statutory obligations
- Contractual indemnity provisions
- Prior loss history pattern

### 3. Reserve Estimation
Three-point estimate:
- **Low**: Best case with strong defense
- **Mid**: Most likely outcome
- **High**: Worst case including litigation costs

Include:
- Indemnity reserve
- Defense costs (inside/outside limits)
- Allocated loss adjustment expense...
README
# Insurance Claims Processor

Turn raw claim data into structured analysis with liability scoring, reserve estimates, fraud detection, and settlement strategy.

Covers property, liability, workers' comp, auto, and professional indemnity claims across US and UK jurisdictions.

## Install

```
clawhub install afrexai-insurance-claims
```

## What You Get

- **Coverage mapping** — matches incidents to policy provisions, endorsements, exclusions
- **Liability scoring** — 1-10 scale with comparative negligence analysis
- **Reserve estimates** — three-point (low/mid/high) with ALAE/ULAE breakdown
- **Fraud detection** — pattern-based red flag scoring
- **Subrogation analysis** — recovery potential and cost-benefit
- **Settlement strategy** — opening position, authority range, mediation vs litigation
- **Compliance timeline** — jurisdiction-specific deadlines and bad faith triggers

## Who This Is For

- Claims adjusters processing high volume
- Insurance operations managers automating triage
- Risk managers handling self-insured retentions
- TPAs standardizing claim handling procedures
- InsurTech teams building claims automation

## More From AfrexAI

- [AI Agent Context Packs](https://afrexai-cto.github.io/context-packs/) — $47 industry packs covering 10 verticals
- [AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — see what AI agents save your operation
- [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — configure your AI workforce in 5 minutes

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