AI car insurance uses computer vision and machine learning to automate vehicle damage assessment and claims processing. Inspektlabs' AI car insurance platform analyzes photos from first notice of loss through settlement, detecting damage, estimating costs, and flagging fraud, reducing manual work by 80% while maintaining 90% accuracy in damage detection.

First notice of loss automation allows customers to report claims instantly via SMS or email link, capturing damage photos through guided smartphone apps. FNOL automation eliminates phone queues, accelerates claim acknowledgment from hours to minutes, and provides immediate damage assessment, improving customer satisfaction while reducing operational costs by 70%.

Insurance claim automation uses AI to handle the entire claims lifecycle: FNOL processing, damage detection, repair cost estimation, fraud detection, and claim review. AI claims technology automates tasks that traditionally require manual efforts from adjusters, estimators, and fraud investigators, and processes claims 70% faster while reducing costs and catching fraud before payout.

Inspektlabs ' AI car insurance solution detects fraud by identifying prior damage, photo manipulation, metadata tampering, vehicle switching, and suspicious damage patterns. The system flags claims with concealed pre-existing damage, inflated repair estimates, or inconsistencies between reported incidents and actual damage, reducing fraudulent payouts by 40%.

No. AI car insurance automates routine claims (60-70% of total volume), allowing adjusters to focus on complex cases requiring human judgment. The AI handles straightforward damage assessment, first notice of loss processing, and fraud screening, while escalating complicated claims, total losses, and high-value cases to experienced adjusters for final review.