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Insurance Claim Validation System

Automated verification that validates insurance claims against policy status, timeframe requirements, and claim details before investigation.

Solution

This insurance claim validation system provides a standard approach to initial claim screening, ensuring only valid claims proceed to detailed investigation. The system performs comprehensive verification checks across multiple dimensions - evaluating claim information completeness, confirming active policy status, and validating that timeframe requirements are met.

When claims fail validation, the system immediately identifies the specific issue with precise reasoning - whether it's an invalid claim number format, an expired policy, or an incident date that falls outside acceptable reporting windows. This enables claims handlers to quickly communicate issues to policyholders or route valid claims for further processing. By automating these fundamental verification steps, insurance companies can reduce processing time, maintain consistent evaluation standards, and focus investigative resources only on claims that meet basic eligibility criteria.

How it works

The decision graph evaluates insurance claims through four sequential validation stages:

  1. Claim Details Validation: Verifies basic claim information including claim number format, incident date validity, policy number format, and ensures damage amount is greater than zero.

  2. Policy Status Check: Confirms the policy is active and not expired, canceled, or suspended before proceeding with further validation.

  3. Timeframe Evaluation: Validates that the incident date is logical - ensuring it's not in the future, occurred after the policy began, and was reported within the required 60-day window.

  4. Outcome Determination: Combines all validation results to make a final decision, generating a clear validation message and determining whether the claim should proceed to investigation or be rejected.

Where teams use it

  • Property and casualty insurance claims processing
  • Auto insurance claim intake systems
  • Home insurance damage assessment workflows
  • Business insurance claim validation
  • Medical insurance claim screening
  • Travel insurance claim verification
  • Accident insurance claim assessment

Inside the decision model

Insurance Claim Validation System ships as a JDM decision graph with 5 nodes, 3 decision tables and 15 rules. Download it, load it into GoRules, and run it as-is on Zen Engine.

Decision graph5 nodes · read-only
input claimRequesttable validateClaimDetailstable checkPolicyStatustable evaluateTimeframesexpression determineOutcome
01

Claim Request

input

Claims arrive as one flat payload: claimNumber, policyNumber, policyStatus, policyStartDate, incidentDate, and damageAmount are the fields the three validation tables inspect in sequence.

Sample requestJSON
{
  "claimNumber": "CLM12345",
  "policyNumber": "POL98765432",
  "policyStatus": "active",
  "policyStartDate": 1609459200,
  "incidentDate": 1640995200,
  "damageAmount": 1500,
  "claimType": "property",
  "description": "Water damage from burst pipe in kitchen"
}
02

Validate Claim Details

table

Format checks run top to bottom with a first hit policy, each failure short-circuiting with its own reason: len(trim(claimNumber ?? '')) < 5 fails as 'Invalid claim number format', a non-numeric incidentDate as 'Incident date is missing or invalid', a policyNumber shorter than 8 characters as 'Invalid policy number format', and damageAmount <= 0 as 'Damage amount must be greater than zero'. The empty final row passes with a blank reason.

Running cheap structural checks before any policy verification is normal claims-intake hygiene: a malformed claim or policy number means the loss cannot be matched to a file at all, and a zero or negative damage amount signals a data entry error rather than a real loss. The minimum lengths of 5 and 8 characters belong to this template's numbering scheme, not to any industry standard.

Decision tablefirst hit policy
InputIsValidvalidation.claimDetailsValidReasonvalidation.claimDetailsReason
len(trim(claimNumber ?? '')) < 5false'Invalid claim number format'
type(incidentDate) != 'number'false'Incident date is missing or invalid'
len(trim(policyNumber ?? '')) < 8false'Invalid policy number format'
damageAmount <= 0false'Damage amount must be greater than zero'
-true''
03

Check Policy Status

table

Before touching status, the first row forwards any upstream failure: !validation.claimDetailsValid re-emits validation.claimDetailsReason so the earliest error survives to the final message. The remaining rows decline when policyStatus equals 'expired', 'canceled', or 'suspended', each with its own reason string, and the catch-all treats anything else as valid.

Coverage has to be in force on the date of loss, so nothing other than an active policy should reach investigation. Keeping expired, canceled, and suspended as distinct reasons matters operationally: an expiry is a renewal conversation, a cancellation may still cover losses that predate the cancellation, and a suspension is often a lapsed payment the insured can cure.

Decision tablefirst hit policy
InputIsValidvalidation.policyStatusValidReasonvalidation.policyStatusReason
!validation.claimDetailsValidfalsevalidation.claimDetailsReason
policyStatus == 'expired'false'Policy has expired'
policyStatus == 'canceled'false'Policy has been canceled'
policyStatus == 'suspended'false'Policy is currently suspended'
-true-
04

Evaluate Timeframes

table

Chained like the previous step, the first row propagates !validation.policyStatusValid with its reason. Then date arithmetic takes over: date('now') - incidentDate > 60 * 24 * 60 * 60 rejects claims reported more than 60 days after the incident, an incidentDate later than now fails as 'Incident date cannot be in the future', and policyStartDate > incidentDate fails as 'Incident occurred before policy start date'.

Prompt-notice requirements are genuine policy conditions, and a 60-day reporting window sits in the range many property forms use, though the exact figure here is a template choice. The other two rows guard against fraud and bad data: a future-dated loss is impossible, and a loss that predates inception is simply not covered under the policy period.

Decision tablefirst hit policy
InputIsValidvalidation.timeframesValidReasonvalidation.timeframesReason
!validation.policyStatusValidfalsevalidation.policyStatusReason
date('now') - incidentDate > 60 * 24 * 60 * 60false'Claim reported more than 60 days after incident'
incidentDate > date('now')false'Incident date cannot be in the future'
policyStartDate > incidentDatefalse'Incident occurred before policy start date'
-true''
05

Determine Outcome

expression

One AND across the three validation flags yields isValid, while validationMessage picks the first failing stage's reason through nested ternaries and defaults to 'Claim validation passed'. The nextStep expression then routes the file to 'investigation' or 'rejection', giving downstream systems a single field to dispatch on.

Expressions3 fields
isValidvalidation.claimDetailsValid and validation.policyStatusValid and validation.timeframesValid
validationMessagevalidation.claimDetailsValid ? (validation.policyStatusValid ? (validation.timeframesValid ? 'Claim validation passed' : validation.timeframesReason) : validation.policyStatusReason) : validation.claimDetailsReason
nextStep$.isValid ? 'investigation' : 'rejection'

Make this template
your own.

Load Insurance Claim Validation System into GoRules, adjust the rules to your policy, and ship it behind your own API.