Case Study: a major group insurance organization improves claims productivity with Skan.ai

Leading Insurance company leveraged automated process discovery to drive continuous process improvement

A leading insurance company faced the challenge of improving claims productivity by reducing non-value-added work and gaining end-to-end process transparency. To address this, they leveraged Skan.ai's automated process discovery to build a data model for continuous improvement.

Skan.ai's solution provided the insurance company with greater visibility into their claims operations, including detailed unit cost analysis and real-time dashboards for KPIs. This enabled leadership to measure frequency, processing time, and turnaround time, while variant comparisons helped determine a model process for execution.