Verified first notice of loss and damage documentation
Insurers face two pressures at once: pay legitimate claims faster and stop the flood of manipulated photo submissions. Virtual Inspection Pro handles both — verified capture flows for FNOL, damage documentation, and catastrophe response.
Claims organizations are already moving this direction. Carriers report widespread deployment of AI and digital-first channels in claims, and self-service inspection has moved from pilot to production across underwriting and FNOL. Virtual Inspection Pro fits that shift with two things adjusters actually need: verified, tamper-checked capture that stands up in a fraud review, and a live video channel where an adjuster can guide a policyholder through the exact shots the file requires, annotate damage on screen, and close the inspection in one contact instead of three.
of U.S. insurance organizations have deployed generative AI in at least one function, with claims among the top uses
Source: Deloitte, via claims industry research 2026estimated annual U.S. insurance fraud losses across all lines
Source: Claims industry statistics, 2025reduction in loss adjustment expense reported for insurers running advanced claims automation
Source: Deloitte, via claims industry research 2026AI-generated damage, edited photos, and screen recaptures are up sharply. Legacy claim intake can't distinguish them.
Every extra day between FNOL and payment costs Net Promoter Score. Verified virtual capture removes the field-adjuster bottleneck for lower-severity claims.
During events, adjuster capacity collapses. Verified policyholder-submitted media clears the routine claims so adjusters focus on judgment work.
Auto-send the policyholder an inspection link when a claim is filed.
Guided damage documentation flow — required angles, wide shots, close-ups, video walkaround.
Every frame is tamper-checked, GPS-locked, and time-stamped before entering the claim file.
Adjusters focus on judgment, not authentication. Escalate to field only when needed.
After a supply line failure, the adjuster sends a link to the homeowner. On a fifteen-minute call she directs the camera to the source, the affected flooring, and the moisture line on the drywall, marking each on screen. OCR pulls the water heater's model and serial from the data plate. The estimate is written the same day with verified photos attached to the claim.
A claimant's damage photos arrive with no metadata. The unit requires a verified capture. GPS places the vehicle in a different city than the reported loss location and reused-image detection flags one photo from an earlier claim. The investigation proceeds with a documented evidence chain rather than an argument about photo quality.
Yes. Verified policyholder submissions dramatically expand throughput during CAT events without expanding adjuster headcount.
Yes. Every submission is checked against known generative patterns as part of the standard verification pipeline.
The gain comes from removing scheduling, not from the walk-through itself. When the inspection happens during the first call instead of five days later, the whole file moves up by that gap — which is where reported reductions in loss adjustment expense come from.
Every capture carries a verification record: time, GPS, device metadata, tamper checks, and reuse detection, with an immutable log of subsequent access. Reports export as signed PDFs with that chain intact.
Sessions run in the mobile browser with no install. Where bandwidth is poor, capture buffers locally and uploads later while keeping capture-time metadata.
It is most valuable there. When field capacity is saturated after an event, verified self-capture lets the desk triage volume and reserve field adjusters for complex or total losses.
Completed reports and media push over webhooks so they file against the claim automatically, and expiring share links let vendors and counsel review without an account.
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