SAS Fraud Decisioning for Claims
Don't accept insurance claims fraud as a cost of doing business.
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Reduce leakage by detecting more fraudulent claim activity
Identify suspicious activity and detect subtle patterns of behavior from first notice of loss (FNOL) to approval or denial. Stem potentially large claims fraud losses with visibility to previously unknown schemes, hidden relationships and covert crime rings. SAS Fraud Decisioning for Claims scales to millions of records, pinpointing claims fraud across them instantly using multiple analytic techniques and customized anomaly detection.
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Consolidate your view of claims fraud risk across all lines of business
Built on a single, cloud-native platform, SAS Fraud Decisioning for Claims unites the insurance claims fraud process – from data management to decision and reporting – in an intuitive interface. A claims fraud control center provides a 360-degree view of the policyholder across all lines of business, so interconnected relationships and activities are visible across claims and policies, enabling collaboration across fraud teams. SAS Fraud Decisioning for Claims helps you stay on top of claims fraud trends through continuous model improvement and rapid model deployment.
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Lower loss-adjustment expenses while gaining a greater competitive advantage
Improve the customer experience on legitimate claims without sacrificing profit. Our sophisticated fraud scoring engine identifies potential claims fraud accurately to facilitate straight-through processing and other claims automation initiatives. Higher detection accuracy reduces false positives, speeds up payment of valid claims and increases policyholder satisfaction. Automatic scoring also prioritizes higher-value claims, entities and networks, while advanced case and intelligence management tools enable more efficient, effective investigations – all leading to a higher ROI per investigator. Storage of all claims settlement amounts allows for future reuse, reducing reliance on internal knowledge.
Key features
Data management
Includes an insurance-specific claims fraud data model that consolidates data from internal and external sources – claims systems, watch lists, third parties, unstructured text and others – and seamlessly integrates into existing solutions.
Advanced analytics & embedded AI
Provides a broad set of advanced analytic and AI techniques, including modern statistical, machine learning, deep learning and text analytics algorithms in a single environment.
Rule & analytic model management
Includes prepackaged insurance-specific rules, anomaly detection and predictive models, with the ability to create and logically manage business rules, analytic models, alerts and watch lists.
Detection & alert generation
Scores claims for fraud at first submission and rescores at each processing stage as new claims data is captured.
Alert management
Combines alerts from multiple monitoring systems and associates them with individuals for a more complete view of the individual’s and group’s risk.
Social network analysis
Goes beyond transaction and detailed claims views to show the network of related activities and relationships.
Search & discovery
Lets you perform free-text, field-based or geospatial searches across all internal and external claims data, and refine using interactive filters.
Case & intelligence management
Streamlines operations with a configurable workflow for systematic, repeatable claims fraud investigations, and captures and displays all pertinent case information.
Flexible deployment options
Turn your insurance claims fraud detection over to SAS in a hosted managed cloud service deployment on Microsoft Azure infrastructure; let SAS remotely manage deployment while you keep the data in your preferred cloud; or choose a combination of the two. SAS managed cloud services deliver fast time to value and high availability. Or deploy on-site if you want to manage and maintain your own environment. Regardless of how you deploy, you get a SAS solution tailored to your organization’s specific requirements.
