Automated Insurance Claim Fraud Detection

Pay genuine claimants faster by improving prediction and detection of fraudulent insurance claims

Insurance companies leverage machine learning capabilities, deep domain expertise and technology competency of Wipro HOLMES^TM to combat fraudsters. HOLMES identifies new and previously unknown fraud schemes with high accuracy by analyzing and understanding patterns. Special investigation units focus on actual red flags as the false positive rate reduces through continuous learning, feedback and self-calibration over time. Only a small set of identified frauds are required to train HOLMES. Separate models can be built for each fraud type such as staged theft, staged fire etc. Predictions also provide indicators for flagging a case, such as suspicious witness and incident during the holiday period.

Privacy Statement

Disclaimer

RSS Feed

Service Offerings

Client Themes

Service Offerings

Client Themes

Our Global Presence Global Site

Our Global Presence Global Site

Our Showcase Pages Locations

Insurance Claims Fraud Detection

Service Offerings

Industries

Digital

HOLMES

Innovation

Contact Us

About Wipro

Location

Leadership

Investors

News and Events

Blogs

Analyst Speak

Partner Ecosystem

Careers

Sustainability

Contact Wipro