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The Quiet Driver of Insurance Operating Expense

Home / The Quiet Driver of Insurance Operating Expense

The Quiet Driver of Insurance Operating Expense

Incomplete submissions require clarification. Duplicate data entry introduces correction cycles. Routine endorsements receive multiple reviews. Claims documentation generates follow-up loops. Each additional touch adds time, labor cost, and compliance exposure.

Industry research highlights that exception-driven processes and manual handoffs increase operational burden and distort expense ratios (McKinsey, 2025; Deloitte, 2024). In short, rework is the quiet enemy.

Root Causes of Rework

There are many things that can contribute to the need to do things over again, including, but limited to:

  • Unstructured intake standards
  • Limited automation of predictable decisions
  • Fragmented system architecture
  • Ambiguous ownership of exceptions

The cumulative impact includes:

  • Slower cycle times
  • Reduced staff capacity for complex risk analysis
  • Increased documentation variance
  • Higher error correction rates

Predictability and Standardization

Carriers that isolate predictable transactions and standardize their processing paths see measurable improvement in turnaround times and cost efficiency. Operational efficiency increases when routine work flows smoothly, and expertise focuses on true complexity.

How Equinox™ Helps

Equinox™ embeds configurable rules into intake, underwriting, and servicing workflows. Structured validation and defined routing reduce unnecessary manual intervention while preserving audit controls. The goal is to reduce and eliminate rework.

References

This post was written with the assistance of AI.

McKinsey & Company. (2025). The Future of AI and Operations in Insurance.

Deloitte. (2024). Insurance Efficiency & Digital Transformation Insights.

Accenture. (2024). Insurance Technology Vision.

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