Claims Fraud Detection

P&C insurers struggle with fraud, leading to losses and higher premiums. Manual reviews are slow, rule-based systems miss new fraud tactics, and black-box AI flags too many false positives, increasing workload.

CHALLENGES

Problems Our Solution Solves

Undetected fraud leads to higher claim payouts and reduced profit margins​

Excessive false positives burden investigative teams and slow down claims processing.
Persistent fraud issues can undermine trust among policyholders and stakeholders.​

OUR SOLUTIONS

Transforming
Challenges into Solutions

Claims Fraud AI can help insurance companies detect and prevent fraudulent claims more effectively, reduce financial losses, and enhance the accuracy of claims processing.​

AI-Powered Fraud Detection

Deploy machine learning models to detect anomalous claim patterns using structured (policyholder data, claim history) and unstructured (medical reports, adjuster notes) data.

Outlier Detection & Behavioural Analysis

Anomaly detection algorithms flag suspicious claims based on historical data and behavioural deviations. ​

AI-Driven Claims Triage

Prioritize high-risk claims for further investigation while fast-tracking legitimate claims.

Human-in-the-loop

Capture and update false positive referrals to update model for future predictions.

RAG-Based Knowledge Retrieval

Provide SIU teams with AI-powered insights by retrieving past fraud cases, regulatory guidelines, and claim history for informed decision-making. ​

Real-Time Alerts and Risk Scoring

Automate fraud risk scoring for each claim and generate real-time alerts for suspicious cases.​

IMPACTS

Why It Matters

Improved Loss Control

Enhanced detection of fraudulent claims reduces unnecessary payouts, improving the insurer’s bottom line.​

Operational Efficiency

Automated triaging and alert systems enable faster investigations and resolution, freeing up resources for high-priority cases.​

Regulatory Confidence

Transparent and robust audit trails help meet compliance requirements and build trust with regulators and reinsurers.​

Customer Trust

Efficient fraud management can lead to lower premiums and improved service, enhancing overall customer satisfaction.​

FAQs

Frequently Asked Questions

What is OverseeAI?
Manual document submission and processing in P&C insurance underwriting are slow, error-prone, and lack real-time tracking. Currently available solutions lack visibility, adaptability and interpretability.​Manual document submission and processing in P&C insurance underwriting are slow, error-prone, and lack real-time tracking. Currently available solutions lack visibility, adaptability and interpretability.​
Manual document submission and processing in P&C insurance underwriting are slow, error-prone, and lack real-time tracking. Currently available solutions lack visibility, adaptability and interpretability.​Manual document submission and processing in P&C insurance underwriting are slow, error-prone, and lack real-time tracking. Currently available solutions lack visibility, adaptability and interpretability.​
Manual document submission and processing in P&C insurance underwriting are slow, error-prone, and lack real-time tracking. Currently available solutions lack visibility, adaptability and interpretability.​Manual document submission and processing in P&C insurance underwriting are slow, error-prone, and lack real-time tracking. Currently available solutions lack visibility, adaptability and interpretability.​
Manual document submission and processing in P&C insurance underwriting are slow, error-prone, and lack real-time tracking. Currently available solutions lack visibility, adaptability and interpretability.​Manual document submission and processing in P&C insurance underwriting are slow, error-prone, and lack real-time tracking. Currently available solutions lack visibility, adaptability and interpretability.​
Manual document submission and processing in P&C insurance underwriting are slow, error-prone, and lack real-time tracking. Currently available solutions lack visibility, adaptability and interpretability.​Manual document submission and processing in P&C insurance underwriting are slow, error-prone, and lack real-time tracking. Currently available solutions lack visibility, adaptability and interpretability.​