Case Studies
Insurance Sector AI Use Cases
Automated Claims Processing
- AI-based damage assessment from photos (e.g., vehicle accidents).
- Fraud detection in claims using anomaly detection and NLP.
Underwriting Automation
- Risk profiling through ML models using historical and external data (health, driving, etc.)
- Faster policy issuance via AI.
Customer Support & Virtual Agents
- AI chatbots to answer FAQs, guide through claims or policy processes.
- Multilingual and omni-channel support.
Pricing Optimization
- Dynamic pricing based on customer behavior, location, and risk.
- AI models help in better risk segmentation.
Predictive Analytics for Risk Management
- Early identification of high-risk customers or regions (e.g., natural disaster zones).
- Health prediction from wearable data (for life/health insurance).
Fraud Detection
- Pattern recognition in historical claims to detect fraudulent patterns.
- Voice stress analysis in claim interviews.
Customer Retention and Personalization
- Churn prediction using AI models.
- Personalized policy offers based on life events and customer behavior.