Shift Claims Fraud Detection
About Shift Claims Fraud Detection
Shift Claims Fraud Detection is a fraud detection software from Shift Technology that helps insurance companies identify fraudulent claims. It combines advanced machine learning algorithms, real-time data analysis, and customizable reporting features so organizations can effectively mitigate fraud risks. This solution allows insurers to automate the review process, reducing manual effort and improving accuracy in claim assessments. With a focus on both claims and underwriting, it supports a comprehensive approach to fraud management. Key capabilities: machine learning algorithms real-time data analysis automated claim reviews customizable reporting fraud risk identification Best for: insurance companies that need to identify and manage fraudulent claims efficiently.
Shift Claims Fraud Detection is a premier, AI-powered SaaS solution for P&C, Health, and Life & Disability insurers. It uses a proprietary AI engine and machine learning to analyze claims in real-time, detecting both individual and organized network fraud. Key capabilities include leveraging the Insurance Data Network (IDN) for cross-carrier insights and analyzing unstructured data like images, setting it apart from competitors. The system delivers exceptional performance, achieving a high detection hit rate (up to 75%) and up to 3x greater accuracy, which leads to improved loss ratios and faster investigation times (up to 60%). Investigators receive 100% explainable alerts with detailed rationales, increasing confidence and efficiency. API compatibility with core systems like Guidewire streamlines the SIU workflow from triage to closure. Deployed as a secure, cloud-native SaaS offering, this solution is highly scalable. It operates on a customizable Subscription pricing model. For specific pricing and licensing information, interested parties should contact Shift Technology directly for a tailored quote. Pros include superior explainability and accuracy; cons relate mainly to the necessary integration effort and lack of publicly available customization details.
Pros & Cons
- Highly accurate AI models tailored specifically for insurance fraud detection, increasing claim investigation efficiency.
- Cross-carrier visibility through the IDN allows detection of complex, multi-claim fraud schemes.
- Explainable AI provides transparency, giving investigators clear reasoning for each flagged claim.
- Reduces false positives, enabling claims teams to focus on genuinely suspicious cases.
- Real-time detection ensures fraudulent activity is identified immediately, minimizing financial losses.
- Enterprise-focused solution may be too complex or expensive for smaller insurers.
- Initial setup and integration with historical data may require significant time and resources.
- Pricing is custom and not publicly available, creating potential budget uncertainty for buyers.
- Some advanced features may require training for optimal use by investigators.
- Dependence on data quality; inaccurate or incomplete data could reduce detection effectiveness.
Features
Key features
Detects suspicious claims across multiple carriers using advanced AI models for improved accuracy and speed.
Uncovers patterns and connections across insurers in real-time to identify complex fraud networks.
Provides transparent reasoning for flagged claims, helping investigators understand why a claim is suspicious.
Identifies fraudulent activity at First Notice of Loss (FNOL) and throughout the claims process.
Supports investigation workflows and connects case details to detection insights for efficient resolution.
Leverages external data sources to enrich fraud detection capabilities and improve pattern recognition.
Advanced AI analytics reduces unnecessary alerts, allowing investigators to focus on true suspicious cases.
Additional features
Provides industry-wide visibility by connecting data across multiple insurance carriers to detect coordinated fraud.
Analyzes text, images, and documents in addition to structured claims data for comprehensive fraud detection.
Generates actionable alerts with contextual information for fraud investigators.
Integrates with insurer systems, such as Guidewire ClaimCenter, to streamline fraud detection and investigation processes.
Processes large volumes of claims efficiently while providing near-instant detection for new claims.
Detects fraud in Property & Casualty, Health, Life, and Disability insurance claims.
Offers contextual guidance to claims handlers to prioritize and investigate suspicious activity.
Cloud-based solution deployable globally with minimal technical complexity.
Pricing
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Interface languages
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About Shift Claims Fraud Detection
Shift Claims Fraud Detection is a fraud detection software from Shift Technology that helps insurance companies identify fraudulent claims. It combines advanced machine learning algorithms, real-time data analysis, and customizable reporting features so organizations can effectively mitigate fraud risks. This solution allows insurers to automate the review process, reducing manual effort and improving accuracy in claim assessments. With a focus on both claims and underwriting, it supports a comprehensive approach to fraud management. Key capabilities: machine learning algorithms real-time data analysis automated claim reviews customizable reporting fraud risk identification Best for: insurance companies that need to identify and manage fraudulent claims efficiently.
Shift Claims Fraud Detection Details
Shift Claims Fraud Detection's In-App Market Place
Does Shift Claims Fraud Detection have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥)
Pros & Cons
- Highly accurate AI models tailored specifically for insurance fraud detection, increasing claim investigation efficiency.
- Cross-carrier visibility through the IDN allows detection of complex, multi-claim fraud schemes.
- Explainable AI provides transparency, giving investigators clear reasoning for each flagged claim.
- Reduces false positives, enabling claims teams to focus on genuinely suspicious cases.
- Real-time detection ensures fraudulent activity is identified immediately, minimizing financial losses.
- Enterprise-focused solution may be too complex or expensive for smaller insurers.
- Initial setup and integration with historical data may require significant time and resources.
- Pricing is custom and not publicly available, creating potential budget uncertainty for buyers.
- Some advanced features may require training for optimal use by investigators.
- Dependence on data quality; inaccurate or incomplete data could reduce detection effectiveness.
Shift Claims Fraud Detection's Support Options
Email Address
contact@shift-technology.comContact
+33 1 86 95 22 82Shift Claims Fraud Detection's Alternatives
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