The Crucial Role of Graph Models in Health Insurance Fraud Prevention
Our Features
Functionality You Will Love
AI-Driven Decision Rules
Achieve the perfect synergy of policy rules and cutting-edge AI capabilities.
Low-code automation
Test and deploy new finance algorithms in record breaking time.
Rules Management
Manages a multitude of policy rules and ML models, pre-packaged by our partners Capgemini and AWS.
Batch and Real-time
Batch or real-time, with one platform.
Deploy Anywhere
Any cloud, hybrid or private data center.
Cloud Native
Unrivalled strength, adaptability, resilience, velocity, and scalability.
Explainability/Observability
Auditing, observability, and explainability, all aligned with regulatory demands, thereby ensuring transparency and adherence.
Native Code Execution
Unique ability to inject specially crafted policy rules directly into message buses, allowing transactions checks within 5ms.
API Connectors
It extends the platform 's functionality by enabling it to access and utilize the features and data provided by external services.
Bots powered by GenAI
Current GenAI initiatives primarily focus on tasks like knowledge modeling but often fall short in grasping problem complexities, leading to hallucinations or irrelevant outputs.
Our pioneering approach tackles these weaknesses head-on, by integrating real time data, causal graphs and outcome insights into the training process. We combine historical records/case tools with real-time data reducing the risk of human error, ensuring consistency that allows human workers to focus on more complex and strategic aspects of their jobs.
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Our intelligent bots is poised to reshape the landscape of financial services, prompting a reevaluation of traditional case management tools and revolutionizing the entire fraud prevention process.
Solution Blueprint
An AI-based hyperautomation fraud detection solution is cloud neutral and combines machine learning with a business rules engine to minimize fraud losses while reducing false positives.
Our solution is capable of processing hundreds of millions transactions per day in batches or in real-time with a response time of less than 5ms per transaction quickly improving fraud detection and prevention capabilities while reducing operational costs and bettering customer confidence.