AI processes routine claims. Human reviews edge cases that don’t fit standard rules.
Volume and enterprise pricing available · you set the budget per task
Your claims AI handles the routine 80% automatically. But the remaining 20% — unusual damage patterns, policy interpretation edge cases, late filings with legitimate reasons — sit in a queue costing you SLA penalties and customer trust.
Via form, API, or SDK. From any workflow or AI agent.
AI processes routine claims automatically, flags exceptions that need human judgment
Credentialed professional (adjuster-certified preferred) reviews flagged items within your SLA. Credential requirements vary by task.
Structured decision. SHA-256 audit hash. Tamper-proof record.
Reviews claim details against policy terms and coverage limits
Assesses whether edge-case circumstances warrant exception handling
Checks documentation completeness (photos, reports, third-party data)
Makes a coverage determination: approve, deny, or request more info
Documents reasoning for audit trail and regulatory compliance
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 (adjuster-certified 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.