Herbscapes.com

Scenario Overview

An insured files a property claim that is processed through an AI-driven claims system.

The system:

• collects claim data 
• evaluates coverage 
• assesses damages 
• generates a claim decision 

The claim is partially denied based on the system’s output.

The insured disputes the decision and files a complaint. During review, the carrier is unable to fully reconstruct how the AI system reached its conclusion.

What Happened

• The insured submitted a claim through a virtual adjuster 
• The AI system processed the claim and generated a decision 
• The claim file contained limited documentation of the system’s analysis 
• Key elements such as input data, decision logic, and intermediate steps were not fully recorded 
• The insured challenged the outcome and requested an explanation 
• During internal review, the carrier could not clearly demonstrate how the decision was reached 

Why This Is a Failure

This scenario reflects a breakdown in documentation, traceability, and accountability.

From the insured’s perspective:

• The decision cannot be fully explained or verified 
• There is no clear record of how the claim was evaluated 
• The process appears opaque and difficult to challenge 

From a regulatory perspective:

• The claim file lacks sufficient documentation 
• The decision cannot be independently reviewed or audited 
• The carrier cannot demonstrate compliance with claim handling standards 

Even if the outcome is correct, the inability to reconstruct the decision creates a process failure.

Key Breakdown in AI Handling

The system failed to:

• Maintain a complete record of input data used in the evaluation 
• Document the logic or rules applied to the claim 
• Capture intermediate steps in the decision process 
• Track model versions or system configurations at the time of decision 
• Preserve sufficient information for future review or audit 

Instead, the system produced an outcome without maintaining a verifiable audit trail.

Failure Indicators

• Claim files lacking detailed documentation of AI-driven decisions 
• Inability to reconstruct how outcomes were determined 
• Missing or incomplete records of input data 
• No tracking of model versions or system changes 
• Difficulty responding to internal or regulatory inquiries 

Impact on Claim Outcome

This failure can lead to:

• Increased disputes and escalation 
• Challenges during regulatory review or audit 
• Potential findings of non-compliance 
• Loss of confidence in the claims process 

The issue is not only the decision itself, but the inability to demonstrate how it was made.

Correct Handling (Gold Standard)

A properly designed system should ensure full traceability of all claim decisions.

Expected Actions:

1. Capture Input Data 
   • Record all information used in the claim evaluation 
2. Document Decision Logic 
   • Maintain a record of how inputs were processed and interpreted 
3. Track System Changes 
   • Log model versions, updates, and configurations 
4. Enable Reconstruction 
   • Ensure that decisions can be recreated and reviewed at any time 

Why It Matters

Claims handling requires not only accurate decisions, but also:

• clear documentation 
• transparency 
• the ability to withstand audit and review 

Without an audit trail, even well-reasoned decisions cannot be validated.

ClaimSurance Insight

If a decision cannot be reconstructed, it cannot be verified.

AI systems must preserve a clear record of how outcomes are produced to ensure accountability and compliance.

Related Regulatory Watch:
AI Claims Handling and Auditability Risk