Fraud-flagged file review in hours, not weeks.
Claim files with fraud indicators — timeline reconstruction across statements, ISO ClaimSearch cross-reference, prior-claims pattern detection, public-records cross-check. SIU referral packet and recommendation memo into Guidewire, Duck Creek, or Origami. Replaces SIU vendor desk reviews at a fraction of the per-investigation cost.
The SIU Vendor Desk on Every Fraud-Flagged Claim
The work the SIU vendor does on every fraud-flagged file — and the cost of leaving it there.
The labor
SIU document review today moves through vendor desk-review teams at Verisk, Mitchell, ISO, and adjacent SIU services firms. Per-investigation cost runs $400–$1,500 depending on file complexity, public-records pulls, and witness-interview reconstruction. A mid-size carrier processing 5K–10K SIU referrals per year routinely spends mid-seven figures on desk-review work alone.
The cycle time
Standard SIU desk-review turnaround runs 7–21 days at the vendor, with longer cycles when the file requires public-records aggregation, social-media collection, and timeline reconstruction across multiple recorded statements. Every week a fraud-flagged claim sits in the desk-review queue is a week the in-house SIU team can't make the deny / investigate further / pay determination — and a week the carrier carries reserves on a claim that may not be valid.
Input · Analysis · Output
What goes into SIU desk review, what we do to it, and what shows up on the SIU desk.
Fraud-flagged claim file
- Claim file flagged at FNOL or during adjuster handling
- Recorded statements (claimant, witnesses, prior-claim parties)
- Social-media evidence and public-records data
- Prior-claims history per claimant (ISO ClaimSearch)
- Adjuster fraud-indicator notes
- Police reports, body-shop estimates, photos
- Policy and coverage detail at time of loss
Reconstruct, cross-reference, recommend
- Timeline reconstruction across all statements
- Inconsistency detection between statements and physical evidence
- ISO ClaimSearch cross-reference for prior-claim patterns
- Public-records cross-check (DMV, court, business filings)
- Social-media evidence scoring against claim narrative
- Fraud-indicator scoring per industry taxonomy
- Confidence score per indicator; exceptions to SIU specialist queue
SIU referral packet into the SoR
- Guidewire ClaimCenter (REST API or EDGE)
- Duck Creek Claims (OnDemand APIs)
- Origami Risk (REST API)
- SIU referral packet with timeline and evidence index
- Recommendation memo (deny / investigate further / pay)
- Suspicious-activity tags for fraud reporting
- Indicator-level audit trail per investigation
SIU Document Review Today vs. With Last Rev
The numbers that matter: cycle time, per-investigation cost, accuracy, and audit posture.
| Dimension | SIU Vendor Desk | Last Rev SIU Document Review |
|---|---|---|
| Cycle time, fraud flag to recommendation | 7–21 days at vendor desk | 4–8 hours per file |
| Per-investigation unit cost | $400–$1,500 per investigation | Per-file, benchmarked at 25–45% of vendor unit cost |
| Surge handling on CAT-driven fraud surges | Vendor backlog grows, response time slips | Elastic by design — same indicator taxonomy applied at scale |
| Audit log per indicator | Vendor narrative, no indicator-level lineage | Source statement + indicator basis + model version + confidence per finding |
| Cross-reference completeness | ISO ClaimSearch + manual public-records pulls | ISO ClaimSearch + DMV + court records + business filings + social-media in one pass |
| Claims-system integration | Vendor portal handoff, separate reporting | Direct via documented Guidewire / Duck Creek / Origami APIs |
| Renegotiation leverage at next SIU vendor renewal | None — you're locked in | 60–85% of desk-review volume off the contract |
From Fraud Flag to SIU-Ready Recommendation
Five steps. Every one logged. Every one reversible if your confidence threshold isn't met.
Built to Meet the Quality Bar SIU Operations Already Run On
What Carriers Ask About SIU Document Review
How is this different from Verisk, Mitchell, ISO ClaimSearch built-in fraud features, or other fraud-detection vendors?
We have an SIU vendor on retainer. How does this work alongside that?
What's your accuracy bar versus a vendor SIU analyst?
How do you handle the determination call — deny / investigate further / pay?
How do you handle social-media evidence and public-records pulls?
Can you actually integrate with Guidewire ClaimCenter, Duck Creek, and Origami for SIU workflows?
How long until a pilot is running on a live book?
What does pricing look like compared to our current per-investigation rate?
Two Ways to Start
Take the AI assessment for a structured read on SIU desk-review feasibility. Or talk to us if you already know your SIU vendor is the bottleneck on fraud disposition.
Take the AI Assessment
A short structured assessment that maps your monthly fraud-flagged volume, current SIU vendor, and claims system to AI feasibility and ROI.
Get a Per-Investigation ROI Model
Send us your monthly fraud-flagged volume, current SIU vendor, and target system of record. We'll come back with a per-investigation unit-cost comparison and a 6–8 week pilot plan in 5 business days.
More Insurance Workflows We Replace
The same approach, applied to the other claims-document labor lines on your operating budget.
FNOL Intake
First-notice-of-loss extracted, validated, and pushed into Guidewire, Duck Creek, Origami, or Snapsheet in minutes.
Subrogation File Review
Closed claim files triaged for subrogation viability, SOL dates, and recoverable-amount calculations.
Demand Package Review
Attorney demand packages — claim valuation drivers and reserve recommendations in days, not weeks.
CAT Claims Surge
High-volume FNOL post-storm — triaged, validated against pre-loss imagery, and batch-routed at scale.