AI Insurance Claim Photo Verification
Guide policyholders to capture complete, classifiable damage photos at first notice of loss. Auto-triage low-complexity claims and route the rest to an adjuster with structured AI annotations.
Why Claims Capture Is Broken
Common challenges teams face without automated verification
Useless First Photos
Policyholders submit blurry, dark, single-angle photos that don't show the damage clearly enough to triage. Adjusters request more, claims stall.
Slow Adjuster Bottleneck
Every claim — including low-severity, low-complexity ones — sits in the adjuster queue. Customers wait days for an answer to a question AI could resolve in seconds.
Inconsistent Data
Different policyholders capture different angles. Without structure, claims data is hard to compare and impossible to model on.
Fraud Exposure
Manipulated, recycled, or staged photos slip through. Without metadata, hash, and image-similarity checks, the carrier eats the cost.
Customer Churn
A 7-day FNOL-to-decision cycle is now table stakes. Carriers that lag on cycle time bleed retention to digital-first competitors.
How It Works
Guided FNOL Capture
Policyholder reports a claim and is walked through a damage-type-specific capture flow (auto, property, contents) with real-time framing guidance.
On-Device Quality + Classification
AI confirms each photo is usable, identifies the damaged subject (vehicle panel, roof shingle, appliance), and classifies the damage class.
Auto-Triage
Low-complexity, in-policy claims (e.g., minor cosmetic auto damage under a threshold) are auto-routed to fast-track decisioning with no adjuster touch.
Structured Hand-Off
Higher-complexity claims arrive in the adjuster queue with AI annotations, damage tags, and quality-verified photos — ready to work, not to chase.
Key Features
Damage-Type Capture Flows
Auto (six-angle plus VIN), property (room and exterior), contents (item-by-item), and specialty flows for marine, motorcycle, and RV.
Damage Classification
Classifies visible damage (dent, scratch, cracked glass, water damage, fire damage, hail) and estimates severity tier for triage.
Anti-Fraud Signals
Detects re-used images, screen captures, manipulated EXIF, and timestamp inconsistencies. Adds a layer before SIU referral.
Adjuster-Ready Reports
Every claim produces a structured PDF with policyholder photos, AI annotations, damage labels, and metadata — adjusters work from this directly.
Carrier-System Integration
Pre-built integrations with Guidewire ClaimCenter, Duck Creek, Sapiens, and Origami Risk. Webhook and REST API options for custom stacks.
Policyholder-Friendly UX
Capture takes minutes, not hours. Policyholder NPS measurably improves at FNOL when the experience feels modern and guided.
Measurable Impact
Low-complexity claims closed without adjuster touch
Reduction on fast-track-eligible claims
Lift at FNOL after capture flow rollout
Inclusive of AI analysis and storage
Frequently Asked Questions
Compress Cycle Time at FNOL
Auto-fast-track simple claims and hand adjusters structured evidence on complex ones. Start your free sandbox today.