A custom UBI workflow automates the ingestion and scoring of high-frequency telematics data—hard braking, mileage, time-of-day—to replace annual premiums with monthly, behavior-based calculations. The operational upside comes from aligning price with actual risk, which improves loss ratios, enhances customer retention through fairer pricing, and creates a data moat. Implementation requires a scalable stream-processing pipeline (e.g., Apache Flink) to normalize IoT data, a rules engine for scoring, and integration with the policy administration system (e.g., Guidewire) for premium adjustments.




