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Claims Processor

Damage Assessment from Images

This agentic task analyses visual evidence of insurance claim damage - an important capability for claims assessment agents. The task configuration outlines how to:

  • Extract damage characteristics from submitted imagery using computer vision

  • Calculate severity scores based on predefined damage classification criteria

  • Generate cost estimates through historical repair data correlation

  • Identify visual indicators of potential fraudulent submissions

  • Produce structured assessment reports with evidence-based recommendations


As a modular agentic task, it can be integrated into claims management systems and mobile submission platforms, enabling AI agents to execute systematic damage evaluation within existing claims workflows. The task specification includes frameworks for visual analysis, cost estimation, fraud detection, and severity assessment, adaptable to motor, property, and commercial insurance products.

Example outputs:

"response": {
    "confidence": "Medium",
    "fraud_flags": [
      "No obvious signs of fraud detected, but further investigation is recommended due to the severity of the damage."
    ],
    "damage_extent": "Severe",
    "affected_areas": [
      "Front bumper",
      "Hood",
      "Left fender",
      "Driver's side door",
      "A-pillar",
      "Windshield",
      "Roof",
      "Left side mirror"
    ],
    "additional_info": [
      "Images of the vehicle's interior",
      "Images of the undercarriage and engine bay",
      "Police report or accident details"
    ],
    "estimated_costs": "High, potentially exceeding 50% of the vehicle's value. A professional assessment is necessary.",
    "damage_description": "The vehicle has sustained severe damage to its front and driver's side, including significant deformation of the hood, fender, and door. The windshield is shattered, and the A-pillar appears compromised. The roof is also damaged, suggesting a possible rollover. The extent of damage to the engine bay and internal components is unknown from the provided image.",
    "recommended_actions": "Assign an adjuster to conduct a thorough in-person vehicle inspection. Request additional information from the claimant, including the police report and details about the accident."