The Data Integrity Imperative: Insurers Who Cannot Trust Their Own Data Cannot Trust Their AI

Insurers are moving AI from pilots into core decisions across underwriting, claims, fraud, pricing, and customer service. But AI does not remove data risk. It exposes it faster.

This whitepaper examines why fragmented insurance data, weak lineage, outdated controls, and unclear accountability can turn AI confidence into business risk. It explains how poor data integrity can affect financial outcomes, regulatory readiness, customer trust, and board-level governance.

The paper also introduces the Decision Trust Fabric, a five-layer model for governing decision trust across source fidelity, context integrity, decision validation, outcome assurance, and governance accountability.

For insurance leaders, the question is no longer whether AI can produce an answer. The real question is whether the organization can prove the data behind that answer deserves trust.