Usage Based Insurance

Use AI and telematics to personalize insurance premiums based on driving behavior

Business impact

• Customer satisfaction — Personalized premiums increase perceived fairness and improve customer retention
• Operational efficiency — Automated data processing reduces manual underwriting and claims handling efforts
• Risk management — Real-time driving data enables more accurate risk assessment and fraud detection
• Compliance adherence — Ensures data handling meets GDPR, AI Act, and Data Act regulatory requirements
• Cost reduction — Optimized pricing and claims reduce loss ratios and administrative expenses

Data requirements

• Telematics driving data (Numeric) — Captures speed, braking, mileage, and driving behavior for risk analysis
• Crash detection sensors (Numeric) — Provides event data to validate claims and assess accident severity
• Driver identification via Bluetooth beacons (Structured) — Distinguishes individual drivers in shared vehicles for accurate data attribution

AI methods and techniques

• Predictive AI — Models driving risk and predicts likelihood of claims based on behavior patterns
• Agentic AI — Automates premium adjustments and policy updates based on incoming data streams

AI models and model families

GPT-4, Claude, Custom telematics ML models

Industries

Real-world evidence

1 documented case study on record.

Companies using this: Intelli Car.