Accelerating Claims and Underwriting with AI: Real-World Use Cases for Insurance

From First Notice of Loss (FNOL) to subrogation and loss history analysis, claims and underwriting teams in commercial and property insurance are buried in documentation. Whether you’re dealing with loss run reports, damage photos, or policy documents, manual review slows down operations, increases costs, and introduces compliance risks.

In this session, we’ll demonstrate how AI agents can automate high-impact workflows for insurance — without sacrificing accuracy, auditability, or regulatory alignment. We’ll showcase how to quickly create AI agents for use cases including:

• Claims Intake & Validation Automation:
  • Automate extraction and validation of key data from FNOL forms, incident reports, repair invoices, medical bills, and more. These agents ensure completeness and reconcile submitted information with policy coverage terms automatically.
• Visual Damage Assessment for P&C Claims
  • Analyze property damage photos to detect and classify severity levels, identify damaged components, and assess alignment between visual evidence and the claim narrative — speeding up adjuster review and settlement cycles.
• Loss Run Standardization for Underwriting
  • Automatically structure and normalize multi-carrier loss run reports. Extract dates of loss, loss type, incurred amounts, and claim statuses — enabling faster risk assessment and cleaner submissions.

Why Attend?

• Boost Operational Efficiency
  • Automate labor-intensive reviews and free up adjusters and underwriters for higher-value work.
• Improve Accuracy & Compliance
  • Reduce human error and ensure policy alignment across claim and underwriting data.
• Enhance Fraud Detection
  • Catch suspicious submissions early with automated anomaly detection.
• Bridge the Gap Between Legacy Systems and Modern AI
  • Integrate intelligent automation into existing claims and underwriting workflows without overhauling your tech stack.

Register now and accelerate your workflows!