Accelerating Value in Insurance with AI: From Experimentation to Realized Enterprise Value

This playbook illustrates how insurers can use AI--from agentic to predictive--to automate workflows and enhance customer experiences. Insurance companies are rapidly adopting AI, with 77% now at some stage of adoption, up from 61% last year. Yet, many struggle to move beyond basic automation to achieve true value in AI use cases. The challenge lies in selecting the right AI technologies and understanding how different models work together to create automated workflows that drive measurable outcomes. This playbook guides insurance leaders through the AI landscape and how to realize value, from predictive models to advanced agentic AI systems. For instance, innovative insurers can combine AI approaches to improve underwriting accuracy, speed up claims processing, and unlock new revenue while preserving the human touch customers value. Read on to view: A framework for implementing agentic AI to handle complex, multi-step processes autonomously Strategies to break down data silos and create unified sources of truth Real-world use cases of AI agents driving customer retention and identifying revenue opportunities