In the insurance industry, 15-20% of submitted applications, claims, and policy updates are deemed Not-in-Good-Order (NIGO) due to missing information, incorrect data, or incomplete documentation. These errors cause delays in policy issuance, claims processing, and customer onboarding, leading to frustration and increased operational costs.
Common NIGO Issues in Insurance
Incomplete Applications: Missing signatures, unchecked fields, or missing documents in policy applications.
Claim Submission Errors: Incorrect or missing beneficiary details, policy numbers, or medical records.
Regulatory Non-Compliance: Data inconsistencies leading to underwriting rework or claim rejections.
How Automation Reduces NIGO Rates by 30-40%
AI-driven solutions are reshaping insurance workflows by improving accuracy and efficiency. Some key innovations include:
Automated Document Verification: IDP (Intelligent Document Processing) ensures all required fields are completed and validates documents before submission.
Real-Time Error Detection : AI-powered checks flag inconsistencies and missing information at the point of entry, preventing rework.
Smart Workflow Routing: Submissions are automatically directed to the right department, reducing processing delays.
Pre-Filled & Auto-Validated Forms: Customer and policyholder details are cross-checked against internal databases to minimise errors.