The insurance industry is navigating rising risk complexities, changing customer expectations, and margin pressures. Underwriting—the foundation of risk selection and pricing—must evolve rapidly to keep pace. Traditional methods relying on manual processes and historical data are no longer sufficient to handle emerging risks such as cyber threats and climate-related perils.
Evolution of Underwriting Using Generative AI: Exploring the Need, Roadmap, and Challenges explores how generative AI can fundamentally transform P&C underwriting, enabling insurers to achieve greater accuracy, speed, and resilience. It highlights the near-term opportunities and long-term strategic shifts required to move from manual-intensive underwriting to a digitally intelligent, AI-augmented function.
You'll gain a comprehensive view of how to build the right foundation, prioritize high-impact use cases, and navigate the practical considerations of enterprise-wide generative AI adoption—from data readiness and model selection to governance and talent strategy.
Key insights include:
- Why underwriting excellence is central to insurer resilience and growth
- Generative AI's role in unlocking value across underwriting functions
- A phased roadmap to adopt and scale generative AI effectively
- Common challenges in data, governance, and talent—and how to overcome them
- Use cases that deliver quick wins and set the stage for strategic transformation