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: