Tech diagnostics for a cost-effective, high-performance insurance enterprise

To address these unique challenges, EY has developed an engineering-led technology diagnostics and cost optimization solution tailored for the insurance sector, anchored in five foundational principles:

1. Evaluating architecture design decisions and their impact on total cost of ownership across underwriting, claims and policy administration systems.
2. Bridging code behavior with enterprise coding standards to facilitate advanced performance of core insurance applications.
3. Integrating observability into critical insurance workloads for predictable infrastructure and system behavior.
4. Recommending cost-optimized workload placement across cloud, on-prem and hybrid environments aligned with compliance needs.
5. Enhancing reliability and recovery of data pipelines supporting actuarial models, fraud detection and customer insights.

This article introduces a modern approach to evaluate how technology design decisions impact operating costs in real-world insurance environments. It also identifies gaps that emerge post-deployment — when actual behavior diverges from intended architecture — affecting claims processing, policy servicing or compliance reporting. The solution helps maintain continued infrastructure and data pipeline health, enabling insurers to support evolving business processes and customer demands with agility and cost efficiency.