ClaimScore's Scoring System is an advanced AI-driven solution designed to enhance the accuracy and transparency of claim validation processes, particularly in class action settlements. By leveraging a proprietary expert system AI, sophisticated cloud architecture, and neural network machine learning, this system evaluates each claim individually, ensuring a thorough and unbiased assessment. The process begins with every claim assigned a baseline score of 1,000, which is then adjusted based on a comprehensive 65-point AI algorithm capable of detecting an extensive array of fraud patterns. Criteria within the algorithm are weighted according to their correlation with both fraudulent and valid claims, and any deductions are clearly tagged with specific codes, providing full transparency into the reasons behind score adjustments. Claims that maintain a score of 700 or above are approved, while those falling below this threshold are recommended for rejection. This meticulous approach not only streamlines the claim validation process but also significantly reduces the risk of fraudulent payouts, ensuring that legitimate claimants receive their rightful settlements.