Accelerate Claims Processing and Underwriting
From first notice of loss to policy issuance, Retriv.ai extracts critical data from claims documents, medical records, and underwriting files — reducing cycle times and improving accuracy.
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Streamline your document-intensive workflows with AI.
Claims Triage & Routing
Automatically classify and route claims in real-time
When a claim comes in, every minute matters. Adjusters need to quickly understand the claim type, severity, and next steps. But most claims arrive as PDFs, faxes, or scanned documents — requiring manual review before routing.
Retriv.ai automatically extracts claim type, loss date, policy number, and damage description from any format of first notice of loss (FNOL). Use this structured data to instantly route claims to the right adjuster, trigger workflows, and flag high-priority cases.
{
"claim_type": "Auto - Collision",
"policy_number": "AUTO-123456",
"loss_date": "2024-11-15",
"claimant_name": "Jane Doe",
"estimated_damage": 8500.00,
"severity": "Moderate"
}Underwriting Acceleration
Process applications 10x faster with automated extraction
Underwriters spend hours manually reviewing medical records, financial documents, and third-party reports to assess risk. This slows down policy issuance and creates bottlenecks.
Retriv.ai can extract key risk factors from unstructured documents — medical histories, lab results, employment records, credit reports, and more. Feed this data directly into your risk models and decision engines.
Fraud Detection & Document Verification
Identify suspicious patterns before paying out claims
Insurance fraud costs the industry billions annually. Fake medical records, inflated repair estimates, and forged policy documents are common. Retriv.ai's extraction includes metadata analysis that can flag suspicious documents — inconsistent formatting, unusual font patterns, or mismatched dates.
Transform Your Insurance Operations
See how Retriv.ai can accelerate your claims and underwriting workflows.