AI scores risk profiles. Human reviews borderline applications.
Volume and enterprise pricing available · you set the budget per task
Your underwriting model auto-approves the easy wins and auto-declines the obvious risks. But the borderline 15% — applicants with unusual risk profiles, complex histories, or incomplete data — need a human judgment call.
Via form, API, or SDK. From any workflow or AI agent.
AI scores risk profile, auto-processes clear cases, flags borderline applications
Credentialed professional (underwriter preferred) reviews flagged items within your SLA. Credential requirements vary by task.
Structured decision. SHA-256 audit hash. Tamper-proof record.
Reviews risk score and underlying data points for the flagged application
Applies underwriting judgment to unusual risk factors
Checks for missing information that could change the risk assessment
Decides to approve at standard terms, approve with adjusted terms, or decline
Provides written reasoning for the decision
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: Credentialed professional (underwriter 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.