Missed and Late Identification of Fraudulent Claims Leading to Improper Paid Losses
Definition
Because SIU referral criteria, data access, and triage are often weak, a significant share of fraudulent or abusive claims are never escalated to SIU or are identified only after payment. This results in recurring improper claim payments that are rarely or only partially recovered, representing pure revenue leakage for carriers.
Key Findings
- Financial Impact: $20–$80 per policy per year in avoidable claim costs (industry estimates that ~10% of all claim costs are fraudulent and a material portion is missed or only identified post‑payment)
- Frequency: Daily
- Root Cause: Fragmented data, lack of up‑to‑date external data sources, and immature case‑triage processes mean many suspicious claims never reach SIU or are worked too late, after funds are disbursed and recovery likelihood drops sharply.[4][6] Carriers’ own SIU manuals emphasize the need for systematic detection and referral procedures precisely because missed referrals are a recurrent problem.[5][7]
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Insurance Carriers.
Affected Stakeholders
SIU investigators, Claims adjusters, Fraud analysts, Claims operations leadership, Actuarial pricing and reserving teams
Deep Analysis (Premium)
Financial Impact
$100,000–$300,000 per program cycle in unpaid/disputed improper losses due to inability to block payment at intake • $150,000–$400,000 per catastrophic event in undetected fraudulent payouts (10% fraud rate × mass claim volume) • $20-$50 per audited policy in unrecovered fraud signals; $250K-$750K annually for active audit book
Current Workarounds
Account teams manage claim approval; SIU involvement only on high-value or suspicious claims; manual deep-dives by assigned SIU analyst; Excel-based loss history for account; ad-hoc meetings between account manager and SIU when questions arise • Administrator underwriter manually reviews application, emails flagging to sponsor SIU (if process exists), ad-hoc phone calls, approval delays waiting for sponsor feedback • Audit findings reported to MGA; carrier follows up via email; MGA may or may not remediate; carrier absorbs loss
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Inefficient SIU Investigations Driving Excess Labor and Vendor Spend
Poor Investigation Quality Leading to Rework, Reopened Claims, and Adverse Outcomes
Extended Claim Cycle Times Due to Manual and Data‑Constrained SIU Reviews
SIU Investigator Time Consumed by Low‑Value Cases and Manual Tasks
Regulatory Non‑Compliance with SIU and Anti‑Fraud Requirements Leading to Fines and Corrective Actions
Systemic Insurance Fraud and Abuse Outpacing SIU Detection
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