Performance Gap in Insurance Operating Models

This whitepaper discusses the performance gap in insurance operating models, emphasizing that the primary issue lies within the operating system rather than technology. It outlines how static operating models, designed for recording and processing, struggle to adapt under sustained volatility, leading to significant trade-offs between speed, control, cost, flexibility, and compliance. The paper identifies five specific performance gaps that arise from these static foundations, each with measurable internal symptoms and direct consequences for customers. It highlights the risks associated with layering new technologies like AI onto fragmented architectures, which can exacerbate existing weaknesses rather than resolve them. The document encourages readers to consider how internal performance failures can translate into customer-facing risks and unsuitable products, urging a reevaluation of structural readiness in their organizations. The whitepaper aims to provide insights into how operating models can define competitive outcomes in the insurance sector.