AI estimates damage from photos/reports. Human verifies before payout.
Your AI estimates vehicle or property damage from photos in seconds. But a $4,000 estimate on a car that needs $8,000 in repairs — or vice versa — destroys customer trust and creates re-open costs that far exceed the review fee.
Via form, API, or SDK. From any workflow or AI agent.
AI analyzes photos and estimates damage cost from visual and structured data
Qualified reviewer (automotive or property claims experience preferred) reviews flagged items within your SLA. Credential requirements vary by task.
Structured decision. SHA-256 audit hash. Tamper-proof record.
Reviews AI damage estimate against submitted photos and reports
Checks for hidden damage patterns the AI may have missed
Validates repair cost estimates against current labor and parts rates
Identifies inconsistencies between reported damage and photo evidence
Approves payout amount or adjusts with written justification
Verified professionals matched to the Insurance category
Credential requirements vary — some tasks require specific certifications, others are open to all verified operators
Every review includes a SHA-256 audit hash for verification
Preferred credential for this use case: Qualified reviewer (automotive or property claims experience preferred)
This use case was built with the HumanAgent API. You can build your own version — customize the workflow, set your own pricing, integrate your own AI, and choose your operators.
Operator credential requirements vary by task. Some tasks are open to all verified operators.