3 Types of KPIs Insurers Must Track to Measure AI Impact

Insurance leaders are under pressure to show measurable returns from AI investments and demonstrate real impact. As automation and intelligent workflows expand across operations, insurers are challenged to identify which improvements are truly AI-driven and how they translate into operational efficiency, cost control, and scalability.

This infographic provides a structured approach to measuring AI's impact on operational performance in insurance. It highlights the types of metrics insurers should be tracking to measure and defend progress, align AI initiatives with business priorities, and support sustainable adoption without losing sight of governance, oversight, or long-term value.

Download the infographic to learn:

• Which operational metrics best reflect the real impact of AI across insurance workflows
• How to evaluate AI performance beyond surface-level efficiency improvements
• What questions to ask when assessing the success of AI-driven initiatives