Analyze claims attachments, spot graphic modifications, and assist your teams in prioritizing folders requiring fraud investigations.
Sky GenAI parses insurance claims document stacks, flags layout alterations, and scores file risk level to pre-screen fraud.
Insurance claim folders hold a mix of files from various channels: handwritten statements, digital invoices, photos, and auto estimates.
Certain files display altered dates, modified billing totals, fake stamps, or inconsistent metadata. Manual verification cannot audit all files systematically, letting fraud slip through.
Spotting graphical retouches or invoice balance tampering requires advanced scanning.
Files are received as mobile uploads, scans, or low-resolution attachments.
Gaps between policyholder claims and garage quotes details slip past manual checks.
Fine graphical changes in invoice balances or doctored vehicle registration years are hard to see.
Fraud experts have limited time to check every claim, leading to bottleneck queues.
Legal rules demand secure timestamps logs of fraud checks and validation outputs.
Applying advanced graphical check modules and metadata analysis to highlight risk.
Isolate graphic changes in digital files, highlighting altered text, stamps, or layout grids.
Cross-match references, vehicle plates, and totals between invoices and receipts.
Determine a claims risk category (Low, Medium, High) based on discovered alerts.
Provide clear alerts reports showing exactly why a file was flagged to speed up human reviews.
From attachment collection to anomaly checking, scoring, and investigation routing.
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Accelerate claims and underwritings with specialized insurance document automation solutions.
Flag modified text values or altered stamps in invoices immediately.
Isolate high-risk folders, letting fraud experts focus on verified exceptions.
Pass compliant, low-risk claims through without manual check loops.
Keep timestamps logs of verified fields, scores, and expert resolutions.
Ready to flag insurance document risks, spot inconsistencies, and secure validation loops?