AI Failure Scenario – The Authority Problem

Scenario

An insured contacts an AI-powered claims assistant to report significant storm damage to their home.

During the conversation, the insured explains that the house has suffered major structural damage and asks whether the loss will be covered under their homeowner’s policy.

The AI assistant explains that storm damage is commonly covered and continues collecting claim information.

In an effort to reassure the insured, the AI system provides language that suggests the claim will likely be handled under the policy.

From the insured’s perspective, the AI assistant appears to be confirming that coverage applies.

The Complication

When the claim is later assigned to a human adjuster, the adjuster begins the normal claim investigation process.

The adjuster must:

  • review the policy and endorsements

  • confirm the cause of loss

  • verify the policy was in force at the time of the event

  • evaluate the scope of damages

However, the insured now believes that the coverage decision has already been made.

They respond:

“The AI claims assistant already told me this was covered.”

At this point, the adjuster must clarify that the AI system was collecting information, not making a final coverage determination.

Authority Limits in Claims Handling

Even experienced adjusters operate under authority limits established by their companies.

For example, an adjuster may have authority to approve payments up to a certain dollar amount.

If the estimated damage exceeds that limit, the claim must be reviewed by a supervisor or manager with higher authority.

Similarly, certain coverage decisions may require:

  • management review

  • underwriting consultation

  • legal interpretation of policy language

These safeguards exist to ensure that coverage decisions are made carefully and consistently.

The Failure Point

The failure occurs when the AI assistant appears to have decision-making authority.

If the system communicates coverage information in a way that sounds definitive, the insured may interpret this as an official claim decision.

In reality, during the early stages of a claim — particularly during First Notice of Loss (FNOL) — coverage has usually not yet been determined.

The policy must still be reviewed and the facts of the loss must be confirmed.

Potential Consequences

When the insured believes that a coverage decision has already been made, several problems can arise:

  • frustration if later information changes the outcome

  • disputes about what the AI system previously stated

  • loss of trust in the claims process

The adjuster must then spend additional time explaining the difference between claim intake and claim determination.

ClaimSurance Insight

AI claims assistants can be extremely helpful in gathering claim information and guiding policyholders through the reporting process.

However, these systems should be careful not to appear to have authority that they do not possess.

In most cases, coverage cannot be confirmed during the initial claim report.

Coverage decisions require review of the policy, the cause of loss, and the specific circumstances of the claim.

Automation can help begin the process.

But final claim decisions must still be made by professionals operating within the carrier’s established authority structure.

 

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