Insurance companies increasingly rely on sophisticated models across their operations, from underwriting and pricing to claims and risk management. As these models become more complex and critical to business operations, effective model governance has become essential for ensuring accuracy, reliability, and regulatory compliance.

This report provides an overview of the AI governance landscape including key functionality and market trends, and examines the types of AI governance and prominent providers thereof. This report profiles Amazon, Arize, Arthur, Credo AI, DataRobot, Domino, Fairly, FairNow, Fiddler, Guardrails AI, H2O.ai, Helicone, Holistic AI, HoneyHive, Humanloop, IBM, Konfer, LangChain, Lumenova AI, Microsoft, Mind Foundry, Monitaur, OverseeAI, Portkey, SigmaRed, S1olasAI, Trustible, and WhyLabs.
Clients of Datos Insights’ Life, Annuities, & Benefits and Property & Casualty services can download this report.
About the Author
Jack Krantz
Jack Krantz is an Advisor at Datos Insights. His expertise includes earth and atmospheric sciences as well as applications of numerical modeling, machine learning, and artificial intelligence. Prior to joining the firm, he was a firefighter, a postdoctoral investigator at the Woods Hole Oceanographic Institution, and a professor at Brown University. He has both a Ph.D. and an M.Sc. in...
Other Authors
Ashley Lee
Ashley Lee is an Advisor at Datos Insights, supporting the firm’s insurance technology and trends research and working on various consulting engagements such as IT strategy, go-to-market strategy, vendor selection, and business process visioning. Ashley also covers insuretechs as a research focus and engages with startups through briefings and industry reports. Prior to joining the firm, Ashley worked in management...