About the book

Agentic AI for Actuaries is a practical guide to understanding, building, evaluating, and governing agentic AI in actuarial work.

Spanning 18 chapters, the book takes readers from the fundamentals of artificial intelligence and machine learning through large language models and agentic AI architectures, then applies these concepts to real actuarial problems in pricing, reserving, life and health, pensions, and risk.

What you'll find inside:

• Clear explanations of AI and machine learning fundamentals—no prior AI, programming, or software engineering experience required

• A practical introduction to large language models and agentic AI

• Hands-on Python code explained step by step

• Extended actuarial case studies developed to working depth

• Applications across major actuarial practice areas

• Guidance for building, evaluating, and deploying AI systems

• Dedicated coverage of AI governance, risk, and professional accountability

• Summaries, key takeaways, and further reading at the end of each chapter

Designed for aspiring actuaries, practicing actuaries, and actuarial leaders, this book focuses on the ideas and architectures that will remain relevant as individual AI tools and frameworks continue to evolve.

Agentic AI for Actuaries is not about replacing actuarial expertise. It is about understanding how these systems work, determining where they can add value, and knowing where professional judgment and accountability remain essential.