As insurance enterprises race toward AI-first operating models, the biggest obstacle isn’t a lack of data; it’s the inability to govern it. This whitepaper by Exavalu makes the case for Unity Catalog as the active governance control plane that embeds security, lineage, and policy enforcement directly into the data and compute layer. Covering everything from the six pillars of Unity Catalog governance to agentic AI readiness, multi-cloud sovereignty, and a proven 108% IRR, it delivers a business-first blueprint for how insurers, MGAs, and brokers can scale analytics and AI innovation while maintaining strict regulatory compliance.
Why traditional, passive governance frameworks fail in an AI-first insurance enterprise; and what active enforcement looks like
The six pillars of Unity Catalog governance, from Zero-Trust Security to AI-Ready Intelligence and Value-Driven Financial Engineering
How to govern the full “Compound AI” lifecycle, including ML models, vector embeddings, system prompts, and conversational AI agents
A detailed ROI breakdown showing up to 50% storage reduction, 7x query performance gains, and documented 108% IRR across modernization programs
How the Exavalu Accelerator automates legacy migration and delivers a governed, audit-ready data estate in a structured 180-day sprint
