Claim Auto-Approval


Cavalry Intelligence
Last Updated: 2 hours ago

Overview

Auto-approval allows eligible claims to be automatically approved and resolved by the AI without manual review.

This helps:

  • Reduce support workload

  • Speed up customer resolution

  • Maintain consistent and policy-driven decision-making

When a claim meets all configured criteria, the system will automatically approve and process the resolution.


How Auto-Approval Works

When a claim is submitted, the system evaluates it against a set of rules defined in your delivery policies.

  • If all conditions are met, the claim is automatically approved

  • If any condition fails, the claim is routed to manual review


Auto-Approval Logic

A claim is auto-approved only if it passes all of the following checks:

  1. Within Value Threshold
    The claim value must be below the configured auto-approval limit

  2. Within Filing Window
    The claim must fall within the defined lower and upper filing thresholds

  3. Fraud Check
    The claim must pass fraud validation, including:

    • Being the first claim submitted by the customer/email

  4. Reason-Specific Checks
    Additional validations based on the claim type


Reason-Specific Checks

Certain claim types require additional verification before they can be auto-approved:

Claim Reason

Required Check

Damaged

Courier marked as damaged OR AI image evaluation confirms damage

Defective

AI image evaluation

Lost in Transit

Courier marked as lost

Misdelivered

Mismatch between delivery and shipping address

Wrong Item

AI image evaluation

For all other claim reasons, the system defaults to approval if other conditions are met.


AI Image Evaluation

For applicable claim types (e.g., damaged, defective, wrong item):

  • The AI analyzes uploaded images

  • Determines whether the claim is valid based on visual evidence

  • Reduces the need for manual review while maintaining accuracy


When Claims Are Not Auto-Approved

A claim will be routed to manual review if any of the following conditions are met:

  • It exceeds the auto-approval value threshold

  • It falls outside the filing window

  • Required evidence is missing

  • It fails fraud checks

  • The customer has previously submitted a claim (not the first claim for that email/customer)

  • It does not pass reason-specific validation


Best Practices

  • Start with conservative auto-approval thresholds

  • Require uploads for higher-risk claim types

  • Enable AI image detection where applicable

  • Monitor claim outcomes and adjust rules over time


Key Takeaway

Auto-approval enables fast, automated claim resolution while still enforcing:

  • Policy rules

  • Fraud safeguards

  • Evidence validation

Only eligible and verified claims are automatically approved, ensuring both efficiency and control.


If you need any assistance, please contact support@cavalry.ai.


Was this article helpful?