Structures insurance fraud detection with red flag identification, investigation protocols, and SIU referral documentation. Use when detecting insurance fraud, investigating suspicious claims, or documenting fraud indicators.
Scanned 9/20/2026
Install to Claude Code
npx -y skills add lev-os/agents --skill managing-insurance-fraud-detection --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Managing Insurance Fraud Detection?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/lev-os-managing-insurance-fraud-detection)More formats (shields.io, HTML) on the badges page.
---
name: managing-insurance-fraud-detection
description: Structures insurance fraud detection with red flag identification, investigation protocols, and SIU referral documentation. Use when detecting insurance fraud, investigating suspicious claims, or documenting fraud indicators.
tags:
- management
- insurance
metadata:
author: casemark
practice_areas:
- Insurance
- Actuarial Science
- Reinsurance
document_types:
- Management Report
skill_modes:
- Management
- Coordination
---
# Managing Insurance Fraud Detection
Structures insurance fraud detection programs covering red flag identification, investigation protocols, SIU referral documentation, and cross-functional coordination across claims, underwriting, and compliance teams.
## When To Use
- Standing up or auditing a fraud detection program for a carrier or MGA
- Triaging suspicious claims against known fraud indicator patterns
- Building or refining SIU referral criteria and escalation workflows
- Documenting fraud investigation findings for regulatory reporting or litigation support
- Evaluating analytics/model outputs that flag anomalous claim or policy activity
- Coordinating between claims adjusters, SIU investigators, legal counsel, and law enforcement
## Inputs To Gather
- **Line of business**: Auto, property, health/medical, workers' comp, life, disability, or commercial liability
- **Claim file or policy data**: Claim number, policy details, loss description, claimant/insured information, payment history
- **Red flag triggers**: What prompted suspicion (adjuster referral, analytics alert, tip, pattern match)
- **Prior investigation history**: Past SIU referrals, prior claims by same claimant/provider, related party flags
- **Jurisdictional context**: State fraud reporting statutes, mandatory referral thresholds, immunity protections [VERIFY]
- **Internal thresholds**: Company-specific scoring models, referral criteria, authority limits for SIU action
- **Regulatory obligations**: State fraud bureau reporting deadlines, NICB membership requirements, federal program fraud considerations (e.g., crop insurance, flood insurance) [VERIFY]
## Workflow
1. **Classify the fraud type**
- Distinguish hard fraud (staged accidents, arson, fabricated claims) from soft fraud (inflated damages, misrepresented facts, premium evasion)
- Identify the scheme pattern: provider fraud, policyholder fraud, agent/broker fraud, organized ring activity
- Map to the relevant line of business — red flags differ materially between auto PIP fraud, property water-loss fraud, and workers' comp malingering
2. **Catalog red flags**
- Document each indicator with specificity: financial pressure signals, timeline inconsistencies, claimant behavior anomalies, medical treatment patterns, policy inception-to-loss timing
- Cross-reference against established indicator libraries (NICB, ISO ClaimSearch, Coalition Against Insurance Fraud resources)
- Score or weight indicators — a single flag rarely warrants SIU referral; accumulation of 3+ correlated indicators typically triggers escalation
3. **Assess investigation viability**
- Determine whether the claim reserve and potential recovery justify investigation costs
- Identify available evidence sources: surveillance feasibility, social media intelligence, EUO/statement under oath opportunities, medical record audits, financial record subpoenas
- Evaluate statute of limitations and reporting deadlines for the jurisdiction [VERIFY]
4. **Structure the SIU referral package**
- Prepare a referral memo with: claim synopsis, enumerated red flags with supporting evidence, recommended investigation actions, preliminary fraud type classification
- Attach supporting documentation: indexed claim file excerpts, analytics output, prior claim history, public records search results
- Assign priority tier (routine, elevated, urgent/ring activity) based on dollar exposure and scheme complexity
5. **Define investigation protocol**
- Outline specific investigative steps: recorded statements, surveillance windows, scene inspections, canvass interviews, financial analysis, expert retention
- Set milestone checkpoints (30/60/90-day reviews) with go/no-go decision criteria
- Establish chain-of-custody procedures for physical and digital evidence
- Coordinate with claims on reservation of rights letters and EUO scheduling
6. **Manage regulatory and law enforcement coordination**
- Prepare state fraud bureau referral forms per jurisdictional requirements [VERIFY]
- Determine whether to file a Suspicious Activity Report (SAR) if federally regulated program is involved [VERIFY]
- Coordinate with NICB for organized fraud or multi-carrier schemes
- Document all law enforcement contacts and information-sharing with appropriate privilege protections
7. **Produce the management report**
- Summarize open investigations by status, priority, and estimated exposure
- Track key metrics: referral-to-resolution time, denial/recovery rates, investigation ROI
- Highlight emerging scheme trends and recommend adjustments to detection models or adjuster training
- Flag cases approaching regulatory reporting deadlines or litigation hold triggers
## Output
The deliverable is a **Fraud Detection Management Report** containing:
- **Executive summary**: Total referrals, open investigations, recoveries, and denial savings for the reporting period
- **Red flag analysis**: Cataloged indicators by scheme type with frequency and correlation data
- **Active investigation tracker**: Case-by-case status with priority tier, assigned investigator, next action, and target dates
- **SIU referral packages**: Completed referral memos with supporting documentation indices
- **Regulatory compliance log**: Filed reports, upcoming deadlines, and outstanding obligations by jurisdiction
- **Trend analysis and recommendations**: Emerging patterns, model tuning suggestions, training needs, and resource allocation proposals
## Quality Checks
- Every red flag cited is tied to a specific, documented data point — no conclusory assertions without evidentiary support
- Fraud type classification aligns with NICB/ISO standard taxonomy
- SIU referral memos distinguish between confirmed facts, adjuster observations, and analytical inferences
- Jurisdictional reporting requirements are verified against current statutes — mark with [VERIFY] if not independently confirmed
- Investigation protocols include chain-of-custody requirements and privilege preservation steps
- Management metrics use consistent definitions (e.g., "recovery" includes subrogation, denial savings, and restitution separately)
- No accusatory language in documentation — use "indicators consistent with" rather than "fraud" until adjudicated
- All timelines account for applicable statutes of limitation and regulatory filing windows [VERIFY]
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!