DISPUTE + CLAIM VERIFICATION

Spot and stop fraudulent claims — from $12 to $12 million

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DELIVERY + MARKETPLACE

Fake proof-of-delivery photos

AI-altered delivery and return images submitted thousands of times a day — faster than any manual queue can clear.

INSURANCE + PROPERTY

AI-generated damage evidence

Synthetic flood, vehicle, and injury photos submitted as documentation. Average fraudulent claim: $15,000+.

FINANCIAL SERVICES

Fabricated financial documents

Altered bank statements and synthetic income documents on loan and reimbursement applications.

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THE THREAT IS ALREADY INSIDE

AI-generated fraud moves faster than manual review. Always.

Generative models have removed the skill barrier from claims fraud. What used to require a professional photo editor now takes seconds. Volume is the strategy — and your review queue is the target.
VELOCITY
Fake evidence is created faster than any human queue can review.
A single fraudster can submit thousands of synthetic claims per day. The economics of AI fraud favor volume — even a 1% success rate on a high-volume operation pays out.
DETECTION GAP
Synthetic media is designed to pass the eye test.
AI-generated damage photos and fabricated documents are optimized to look authentic. Standard OCR and image review check format — not if the source was AI.
COST OF DELAY
Late detection costs 10-50x more
Once a fraudulent claim enters adjudication, costs compound — investigator time, SIU referral, legal fees, customer friction. Detection at submission eliminates all of it.
THE PROBLEM

AI fraud detection for claims — how it applies across your workflows

Every claims vertical faces a different attack surface. Resemble Detect covers all of them through a single API — real-time at intake or batch across existing queues.

Fraud prevention + operations
Delivery + marketplace
Media submitted as evidence:
Delivery photos
Return evidence
Product condition images
Modalities
Image
Video
Products
Resemble Detect
Resemble Intelligence
Without detection
AI-altered delivery photos submitted at scale — faster than any review queue can clear
Return fraud with synthetic product condition images bypasses standard format validation
No chain of custody between capture and submission — any image can be substituted
How Resemble AI detects it
Image analysis at submission in <200ms — flags synthesis artifacts before the claim enters the queue
Confidence score + tamper evidence per file, structured for automated rejection or escalation
Batch mode surfaces historical fraud in existing queues without workflow changes
Claims integrity • SIU
Insurance + property
Media submitted as evidence:
Damage photos
Video walkthroughs
Recorded statements
Policy documents
Modalities
Image
Video
Audio
Products
Resemble Detect
Resemble Intelligence
Without detection
Synthetic flood, vehicle, and injury photos submitted as damage evidence — indistinguishable to the adjuster
AI-generated voice in recorded claim statements passes audio review
Fabricated policy and medical documents look authentic to OCR and resolution checks
How Resemble AI detects it
Multimodal analysis across all submitted file types — image, video, audio, and documents — in a single API call
Resemble Intelligence delivers a human-readable explanation of each verdict for SIU review and dispute resolution
Audit-ready evidence per submission — structured for compliance reporting and legal proceedings
Compliance • Document integrity
Financial services
Media submitted as evidence:
Bank statements
Income documents
Expense receipts
Identification
Modalities
Image
Products
Resemble Detect
Resemble Intelligence
Without detection
Altered bank statements and synthetic income documents pass standard format and OCR validation
AI-manipulated images on loan and expense applications enter approval workflows undetected
No detection layer between document submission and credit or reimbursement decision
How Resemble AI detects it
Document + image analysis catches synthesis artifacts that format checks and OCR cannot see
Per-document confidence score and anomaly metadata, structured for compliance reporting
On-premise deployment available — claim data and PII never leave your environment
OUR CAPABILITIES

Speech that responds instantly, pronounces correctly, and sounds human.

The details that break generic TTS are the ones we designed around.
Proactive
Watermark at capture. Broken signal at submission = instant flag.
Real-time
Detect at submission in <200ms. Stop fraud before it enters your workflow.
Batch
Run detection across existing queues. Surface what already got through.
THE MATH IS SIMPLE

Not running detection could be costing you millions

Estimates are conservative. Actual exposure is likely higher.
GET A FRAUD EXPOSURE ESTIMATE
Delivery + marketplace
Daily volume
10,000 claims
Fraud rate
1%
Average value
$12
Annual exposure
$438,000
Detection cost
$12,775
Net protected
$425,225
Insurance + property
Daily volume
33 claims
Fraud rate
2%
Average value
$15,000
Annual exposure
$3,600,000
Detection cost
$54,000
Net protected
$3,546,000
Financial services
Daily volume
17 applications
Fraud rate
3%
Average value
$50,000
Annual exposure
$9,000,000
Detection cost
$12,000
Net protected
$8,988,000
ONE PLATFORM. EVERY CLAIM TYPE.

Detect synthetic media across every claims workflow

Delivery + marketplace
ATTACK TYPE

Synthetic proof-of-delivery

AI-generated or altered photo submitted as delivery confirmation.

DETECTION METHOD

Multimodal image analysis

Resemble Detect scores for synthesis artifacts and manipulation signatures at submission.

OUTPUT

Confidence score + audit log

Per-file tamper evidence, flagged for review or auto-rejected above threshold.

Insurance + property
ATTACK TYPE

AI-generated damage evidence

Synthetic photos and video submitted as property, vehicle, or injury documentation.

DETECTION METHOD

Image + video + audio analysis

Multimodal analysis across all submitted media, including video walkthroughs and recorded statements.

OUTPUT

Per-file tamper evidence

Structured audit log per submission, audit-ready for SIU review and dispute resolution.

Financial services
ATTACK TYPE

Fabricated financial documents

Altered bank statements and synthetic income documents on loan or reimbursement applications.

DETECTION METHOD

Document + image analysis

Analyzes PDFs, scanned documents, and images for manipulation and synthesis artifacts.

OUTPUT

Confidence score + metadata

Tamper evidence and anomaly flags per document, structured for compliance reporting.

BUILT FOR CLAIMS WORKFLOWS

Resemble AI runs where your claims data lives

Real-time at intake or batch across existing queues. All output is audit-ready for dispute resolution and compliance. No data leaves your environment.
Cloud API or on-premise deployment
Real-time (<200ms) and async batch
Image, video, and audio
Confidence score + audit log per submission
Audit-ready tamper evidence per submission
Resemble Intelligence explanation per verdict
Custom models for your claim type and data
Frequently asked questions
What types of voice agents does Resemble support?
Images, video, audio, and documents including PDFs and scanned files covering the full range of media submitted in delivery, insurance, and financial services claim workflows. All modalities are analyzed through a single API call.
Does AI claims fraud detection work in real time or only in batch?
Both. Real-time API mode returns a verdict in under 200ms at intake stopping fraud before it enters the adjudication queue. Async batch processes existing claim backlogs without any workflow changes required.
What's the difference between Resemble Detect and Resemble Watermarker for claims?
Resemble Detect analyzes any submitted media for synthetic or manipulated content — no prior setup required, works on anything submitted to your queue. Resemble Watermarker embeds a provenance signal at capture, for platforms that control the point of origin. Neither depends on the other; most claims workflows start with Detect.
Is on-premise deployment available for claims and insurance data?
Yes. Resemble Detect supports on-premise and air-gapped deployment via Kubernetes containers. Claim data, PII, and submitted media never leave your environment, meeting strict internal governance and regulatory requirements.
What accuracy does Resemble Detect achieve on claims media?
Over 96% accuracy pooled across image, video, and audio, validated against 160+ generative AI tools. Custom models trained on your specific claim types and historical data can improve on this baseline for your attack profile.
How does Resemble produce audit-ready evidence for dispute resolution?
Every analysis returns a confidence score, tamper evidence metadata, and a per-file audit log. Resemble Intelligence adds a human-readable explanation of the verdict structured for SIU review, compliance reporting, and legal proceedings.
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